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<p><h4>Description</h4> <p>BlackStone eIT is seeking an experienced and visionary AI team lead to oversee and guide our artificial intelligence initiatives. As the AI team lead, you will be responsible for leading a team of AI engineers and data scientists to develop innovative AI solutions that drive business growth and enhance user experiences. You will collaborate with cross-functional stakeholders to design and implement cutting-edge AI technologies and ensure successful project delivery.</p> <h4>Key responsibilities:</h4> <ul> <li>Lead, mentor, and manage a team of AI engineers and data scientists.</li> <li>Design and develop scalable AI models and algorithms tailored to business needs.</li> <li>Collaborate with product managers, software developers, and business stakeholders to define AI project requirements.</li> <li>Ensure rigorous testing, validation, and deployment of AI solutions.</li> <li>Stay current with the latest advancements in AI, machine learning, and data science technologies.</li> <li>Establish best practices and standards for AI development within the team.</li> <li>Identify opportunities for AI integration to improve products and services.</li> </ul> <h4>Requirements</h4> <ul> <li>Bachelor’s or master’s degree in computer science, artificial intelligence, data science, or related field.</li> <li>At least 8 years of experience in AI, machine learning, or data science roles.</li> <li>Proven leadership experience managing technical teams.</li> <li>Strong proficiency in programming languages such as Python, R, or Java.</li> <li>Experience with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn.</li> <li>Solid understanding of data processing, feature engineering, and statistical modeling.</li> <li>Familiarity with cloud platforms (AWS, Azure, or Google Cloud) for AI deployment.</li> <li>Excellent problem-solving, analytical, and communication skills.</li> <li>Ability to translate complex AI concepts into actionable business solutions.</li> </ul> <h4>Benefits</h4> <ul> <li>Paid time off</li> <li>Performance bonus</li> <li>Training & development</li> </ul></p><p></p>

<p><h4>Description</h4> <p>BlackStone eIT is seeking an experienced and visionary AI team lead to oversee and guide our artificial intelligence initiatives. As the AI team lead, you will be responsible for leading a team of AI engineers and data scientists to develop innovative AI solutions that drive business growth and enhance user experiences. You will collaborate with cross-functional stakeholders to design and implement cutting-edge AI technologies and ensure successful project delivery.</p> <h4>Key responsibilities:</h4> <ul> <li>Lead, mentor, and manage a team of AI engineers and data scientists.</li> <li>Design and develop scalable AI models and algorithms tailored to business needs.</li> <li>Collaborate with product managers, software developers, and business stakeholders to define AI project requirements.</li> <li>Ensure rigorous testing, validation, and deployment of AI solutions.</li> <li>Stay current with the latest advancements in AI, machine learning, and data science technologies.</li> <li>Establish best practices and standards for AI development within the team.</li> <li>Identify opportunities for AI integration to improve products and services.</li> </ul> <h4>Requirements</h4> <ul> <li>Bachelor’s or master’s degree in computer science, artificial intelligence, data science, or related field.</li> <li>At least 8 years of experience in AI, machine learning, or data science roles.</li> <li>Proven leadership experience managing technical teams.</li> <li>Strong proficiency in programming languages such as Python, R, or Java.</li> <li>Experience with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn.</li> <li>Solid understanding of data processing, feature engineering, and statistical modeling.</li> <li>Familiarity with cloud platforms (AWS, Azure, or Google Cloud) for AI deployment.</li> <li>Excellent problem-solving, analytical, and communication skills.</li> <li>Ability to translate complex AI concepts into actionable business solutions.</li> </ul> <h4>Benefits</h4> <ul> <li>Paid time off</li> <li>Performance bonus</li> <li>Training & development</li> </ul></p><p></p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>BlackStone eIT is actively looking for a dedicated AI Team Lead to spearhead our Artificial Intelligence initiatives. This role involves leading a talented team of AI professionals to create innovative AI-driven solutions that align with the company's vision. You will play a crucial part in strategizing, developing, and deploying AI technologies that enhance our products and services while maintaining the highest standards of excellence. Responsibilities: Lead the AI team in designing, developing, and implementing AI models and systems. Collaborate with stakeholders to identify AI opportunities that drive business value. Guide the team to effectively use machine learning frameworks and tools. Oversee project lifecycle from research and prototyping to production deployment. Maintain knowledge of latest trends and advancements in AI and machine learning. Establish best practices and foster a culture of continuous improvement and innovation.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>6+ years of hands-on experience in Machine Learning, Deep Learning, or AI Engineering.</li><li>3+ years of experience in a technical leadership or mentoring role.</li><li>Programming &amp; Frameworks: Expert-level proficiency in Python and deep learning frameworks (PyTorch is strongly preferred, or TensorFlow).</li><li>Cloud Infrastructure: Extensive, hands-on experience with Microsoft Azure, specifically building training and deployment pipelines using Azure ML workspace, MLflow, and container orchestration (Docker/Kubernetes).</li><li>NLP Expertise: Deep understanding of modern NLP architectures (Transformers, BERT, GPT variants), tokenization, vector databases, and libraries like Hugging Face and Lang Chain/Lang Graph.</li><li>CV Expertise: Strong mathematical foundation in image processing and experience building custom models using OpenCV, YOLO architectures, and PyTorch Vision.</li><li>MLOps: Proven ability to build CI/CD pipelines for machine learning models, manage model registries, and monitor model drift in production.</li><li>Experience with building and deploying Autonomous AI Agents (e.g., using Langchain,langgraph,Crew ai ).</li><li>Background in edge deployment for Computer Vision models (TensorRT, ONNX).</li></ul><p></p></section>

<p><h4>Description</h4> <p>BlackStone eIT is actively looking for a dedicated AI team lead to spearhead our artificial intelligence initiatives. This role involves leading a talented team of AI professionals to create innovative AI-driven solutions that align with the company's vision. You will play a crucial part in strategizing, developing, and deploying AI technologies that enhance our products and services while maintaining the highest standards of excellence.</p> <h4>Responsibilities:</h4> <ul> <li>Lead the AI team in designing, developing, and implementing AI models and systems.</li> <li>Collaborate with stakeholders to identify AI opportunities that drive business value.</li> <li>Guide the team to effectively use machine learning frameworks and tools.</li> <li>Oversee project lifecycle from research and prototyping to production deployment.</li> <li>Maintain knowledge of latest trends and advancements in AI and machine learning.</li> <li>Establish best practices and foster a culture of continuous improvement and innovation.</li> </ul> <h4>Requirements</h4> <ul> <li>Experience: 6+ years of hands-on experience in machine learning, deep learning, or AI engineering.</li> <li>3+ years of experience in a technical leadership or mentoring role.</li> <li>Programming & frameworks: Expert-level proficiency in Python and deep learning frameworks (PyTorch is strongly preferred, or TensorFlow).</li> <li>Cloud infrastructure: Extensive, hands-on experience with Microsoft Azure, specifically building training and deployment pipelines using Azure ML workspace, MLflow, and container orchestration (Docker/Kubernetes).</li> <li>NLP expertise: Deep understanding of modern NLP architectures (Transformers, BERT, GPT variants), tokenization, vector databases, and libraries like Hugging Face and LangChain/Lang Graph.</li> <li>CV expertise: Strong mathematical foundation in image processing and experience building custom models using OpenCV, YOLO architectures, and PyTorch Vision.</li> <li>MLOps: Proven ability to build CI/CD pipelines for machine learning models, manage model registries, and monitor model drift in production.</li> <li>Experience with building and deploying autonomous AI agents (e.g., using LangChain, Lang Graph, Crew AI).</li> <li>Background in edge deployment for computer vision models (TensorRT, ONNX).</li> </ul> <h4>Benefits</h4> <ul> <li>Paid time off</li> <li>Performance bonus</li> <li>Training & development</li> </ul></p><p></p>

<p><h4>Description</h4> <p>BlackStone eIT is actively looking for a dedicated AI team lead to spearhead our artificial intelligence initiatives. This role involves leading a talented team of AI professionals to create innovative AI-driven solutions that align with the company's vision. You will play a crucial part in strategizing, developing, and deploying AI technologies that enhance our products and services while maintaining the highest standards of excellence.</p> <h4>Responsibilities:</h4> <ul> <li>Lead the AI team in designing, developing, and implementing AI models and systems.</li> <li>Collaborate with stakeholders to identify AI opportunities that drive business value.</li> <li>Guide the team to effectively use machine learning frameworks and tools.</li> <li>Oversee project lifecycle from research and prototyping to production deployment.</li> <li>Maintain knowledge of latest trends and advancements in AI and machine learning.</li> <li>Establish best practices and foster a culture of continuous improvement and innovation.</li> </ul> <h4>Requirements</h4> <ul> <li>Experience: 6+ years of hands-on experience in machine learning, deep learning, or AI engineering.</li> <li>3+ years of experience in a technical leadership or mentoring role.</li> <li>Programming & frameworks: Expert-level proficiency in Python and deep learning frameworks (PyTorch is strongly preferred, or TensorFlow).</li> <li>Cloud infrastructure: Extensive, hands-on experience with Microsoft Azure, specifically building training and deployment pipelines using Azure ML workspace, MLflow, and container orchestration (Docker/Kubernetes).</li> <li>NLP expertise: Deep understanding of modern NLP architectures (Transformers, BERT, GPT variants), tokenization, vector databases, and libraries like Hugging Face and LangChain/Lang Graph.</li> <li>CV expertise: Strong mathematical foundation in image processing and experience building custom models using OpenCV, YOLO architectures, and PyTorch Vision.</li> <li>MLOps: Proven ability to build CI/CD pipelines for machine learning models, manage model registries, and monitor model drift in production.</li> <li>Experience with building and deploying autonomous AI agents (e.g., using LangChain, Lang Graph, Crew AI).</li> <li>Background in edge deployment for computer vision models (TensorRT, ONNX).</li> </ul> <h4>Benefits</h4> <ul> <li>Paid time off</li> <li>Performance bonus</li> <li>Training & development</li> </ul></p><p></p>

<p><h4>Description</h4> <p>BlackStone eIT is actively looking for a dedicated AI team lead to spearhead our artificial intelligence initiatives. This role involves leading a talented team of AI professionals to create innovative AI-driven solutions that align with the company's vision. You will play a crucial part in strategizing, developing, and deploying AI technologies that enhance our products and services while maintaining the highest standards of excellence.</p> <h4>Responsibilities:</h4> <ul> <li>Lead the AI team in designing, developing, and implementing AI models and systems.</li> <li>Collaborate with stakeholders to identify AI opportunities that drive business value.</li> <li>Guide the team to effectively use machine learning frameworks and tools.</li> <li>Oversee project lifecycle from research and prototyping to production deployment.</li> <li>Maintain knowledge of latest trends and advancements in AI and machine learning.</li> <li>Establish best practices and foster a culture of continuous improvement and innovation.</li> </ul> <h4>Requirements</h4> <ul> <li>Experience: 6+ years of hands-on experience in machine learning, deep learning, or AI engineering.</li> <li>3+ years of experience in a technical leadership or mentoring role.</li> <li>Programming & frameworks: Expert-level proficiency in Python and deep learning frameworks (PyTorch is strongly preferred, or TensorFlow).</li> <li>Cloud infrastructure: Extensive, hands-on experience with Microsoft Azure, specifically building training and deployment pipelines using Azure ML workspace, MLflow, and container orchestration (Docker/Kubernetes).</li> <li>NLP expertise: Deep understanding of modern NLP architectures (Transformers, BERT, GPT variants), tokenization, vector databases, and libraries like Hugging Face and LangChain/LangGraph.</li> <li>CV expertise: Strong mathematical foundation in image processing and experience building custom models using OpenCV, YOLO architectures, and PyTorch Vision.</li> <li>MLOps: Proven ability to build CI/CD pipelines for machine learning models, manage model registries, and monitor model drift in production.</li> <li>Experience with building and deploying autonomous AI agents (e.g., using LangChain, LangGraph, Crew AI).</li> <li>Background in edge deployment for computer vision models (TensorRT, ONNX).</li> </ul> <h4>Benefits</h4> <ul> <li>Paid time off</li> <li>Performance bonus</li> <li>Training & development</li> </ul></p><p></p>

<p><h4>Description</h4> <p>BlackStone eIT is actively looking for a dedicated AI team lead to spearhead our artificial intelligence initiatives. This role involves leading a talented team of AI professionals to create innovative AI-driven solutions that align with the company's vision. You will play a crucial part in strategizing, developing, and deploying AI technologies that enhance our products and services while maintaining the highest standards of excellence.</p> <h4>Responsibilities:</h4> <ul> <li>Lead the AI team in designing, developing, and implementing AI models and systems.</li> <li>Collaborate with stakeholders to identify AI opportunities that drive business value.</li> <li>Guide the team to effectively use machine learning frameworks and tools.</li> <li>Oversee project lifecycle from research and prototyping to production deployment.</li> <li>Maintain knowledge of latest trends and advancements in AI and machine learning.</li> <li>Establish best practices and foster a culture of continuous improvement and innovation.</li> </ul> <h4>Requirements</h4> <ul> <li>Experience: 6+ years of hands-on experience in machine learning, deep learning, or AI engineering.</li> <li>3+ years of experience in a technical leadership or mentoring role.</li> <li>Programming & frameworks: Expert-level proficiency in Python and deep learning frameworks (PyTorch is strongly preferred, or TensorFlow).</li> <li>Cloud infrastructure: Extensive, hands-on experience with Microsoft Azure, specifically building training and deployment pipelines using Azure ML workspace, MLflow, and container orchestration (Docker/Kubernetes).</li> <li>NLP expertise: Deep understanding of modern NLP architectures (Transformers, BERT, GPT variants), tokenization, vector databases, and libraries like Hugging Face and LangChain/LangGraph.</li> <li>CV expertise: Strong mathematical foundation in image processing and experience building custom models using OpenCV, YOLO architectures, and PyTorch Vision.</li> <li>MLOps: Proven ability to build CI/CD pipelines for machine learning models, manage model registries, and monitor model drift in production.</li> <li>Experience with building and deploying autonomous AI agents (e.g., using LangChain, LangGraph, Crew AI).</li> <li>Background in edge deployment for computer vision models (TensorRT, ONNX).</li> </ul> <h4>Benefits</h4> <ul> <li>Paid time off</li> <li>Performance bonus</li> <li>Training & development</li> </ul></p><p></p>

<p><h4>BlackStone eIT is actively looking for a dedicated AI team lead to spearhead our artificial intelligence initiatives.</h4> <p>This role involves leading a talented team of AI professionals to create innovative AI-driven solutions that align with the company's vision. You will play a crucial part in strategizing, developing, and deploying AI technologies that enhance our products and services while maintaining the highest standards of excellence.</p> <h4>Responsibilities:</h4> <ul> <li>Lead the AI team in designing, developing, and implementing AI models and systems.</li> <li>Collaborate with stakeholders to identify AI opportunities that drive business value.</li> <li>Guide the team to effectively use machine learning frameworks and tools.</li> <li>Oversee project lifecycle from research and prototyping to production deployment.</li> <li>Maintain knowledge of latest trends and advancements in AI and machine learning.</li> <li>Establish best practices and foster a culture of continuous improvement and innovation.</li> </ul> <h4>Requirements</h4> <ul> <li>Experience: 6+ years of hands-on experience in machine learning, deep learning, or AI engineering.</li> <li>3+ years of experience in a technical leadership or mentoring role.</li> <li>Programming & frameworks: Expert-level proficiency in Python and deep learning frameworks (PyTorch is strongly preferred, or TensorFlow).</li> <li>Cloud infrastructure: Extensive, hands-on experience with Microsoft Azure, specifically building training and deployment pipelines using Azure ML workspace, MLflow, and container orchestration (Docker/Kubernetes).</li> <li>NLP expertise: Deep understanding of modern NLP architectures (Transformers, BERT, GPT variants), tokenization, vector databases, and libraries like Hugging Face and Lang Chain/Lang Graph.</li> <li>CV expertise: Strong mathematical foundation in image processing and experience building custom models using OpenCV, YOLO architectures, and PyTorch Vision.</li> <li>MLOps: Proven ability to build CI/CD pipelines for machine learning models, manage model registries, and monitor model drift in production.</li> <li>Experience with building and deploying autonomous AI agents (e.g., using Langchain, Langgraph, Crew AI).</li> <li>Background in edge deployment for computer vision models (TensorRT, ONNX).</li> </ul> <h4>Benefits</h4> <ul> <li>Paid time off</li> <li>Performance bonus</li> <li>Training & development</li> </ul></p><p></p>

<p><h4>BlackStone eIT is actively looking for a dedicated AI team lead to spearhead our artificial intelligence initiatives.</h4> <p>This role involves leading a talented team of AI professionals to create innovative AI-driven solutions that align with the company's vision. You will play a crucial part in strategizing, developing, and deploying AI technologies that enhance our products and services while maintaining the highest standards of excellence.</p> <h4>Responsibilities:</h4> <ul> <li>Lead the AI team in designing, developing, and implementing AI models and systems.</li> <li>Collaborate with stakeholders to identify AI opportunities that drive business value.</li> <li>Guide the team to effectively use machine learning frameworks and tools.</li> <li>Oversee project lifecycle from research and prototyping to production deployment.</li> <li>Maintain knowledge of latest trends and advancements in AI and machine learning.</li> <li>Establish best practices and foster a culture of continuous improvement and innovation.</li> </ul> <h4>Requirements</h4> <ul> <li>Experience: 6+ years of hands-on experience in machine learning, deep learning, or AI engineering.</li> <li>3+ years of experience in a technical leadership or mentoring role.</li> <li>Programming & frameworks: Expert-level proficiency in Python and deep learning frameworks (PyTorch is strongly preferred, or TensorFlow).</li> <li>Cloud infrastructure: Extensive, hands-on experience with Microsoft Azure, specifically building training and deployment pipelines using Azure ML workspace, MLflow, and container orchestration (Docker/Kubernetes).</li> <li>NLP expertise: Deep understanding of modern NLP architectures (Transformers, BERT, GPT variants), tokenization, vector databases, and libraries like Hugging Face and Lang Chain/Lang Graph.</li> <li>CV expertise: Strong mathematical foundation in image processing and experience building custom models using OpenCV, YOLO architectures, and PyTorch Vision.</li> <li>MLOps: Proven ability to build CI/CD pipelines for machine learning models, manage model registries, and monitor model drift in production.</li> <li>Experience with building and deploying autonomous AI agents (e.g., using Langchain, Langgraph, Crew AI).</li> <li>Background in edge deployment for computer vision models (TensorRT, ONNX).</li> </ul> <h4>Benefits</h4> <ul> <li>Paid time off</li> <li>Performance bonus</li> <li>Training & development</li> </ul></p><p></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>BlackStone eIT is actively looking for a dedicated AI Team Lead to spearhead our Artificial Intelligence initiatives.<br> This role involves leading a talented team of AI professionals to create innovative AI-driven solutions that align with the company's vision.<br> You will play a crucial part in strategizing, developing, and deploying AI technologies that enhance our products and services while maintaining the highest standards of excellence.<br> Responsibilities: Lead the AI team in designing, developing, and implementing AI models and systems.<br> Collaborate with stakeholders to identify AI opportunities that drive business value.<br> Guide the team to effectively use machine learning frameworks and tools.<br> Oversee project lifecycle from research and prototyping to production deployment.<br> Maintain knowledge of latest trends and advancements in AI and machine learning.<br> Establish best practices and foster a culture of continuous improvement and innovation.<br> Paid Time Off Performance Bonus Training &amp; Development Experience: 6+ years of hands-on experience in Machine Learning, Deep Learning, or AI Engineering.<br> 3+ years of experience in a technical leadership or mentoring role.<br> Programming &amp; Frameworks: Expert-level proficiency in Python and deep learning frameworks (PyTorch is strongly preferred, or TensorFlow).<br> Cloud Infrastructure: Extensive, hands-on experience with Microsoft Azure, specifically building training and deployment pipelines using Azure ML workspace, MLflow, and container orchestration (Docker/Kubernetes).<br> NLP Expertise: Deep understanding of modern NLP architectures (Transformers, BERT, GPT variants), tokenization, vector databases, and libraries like Hugging Face and Lang Chain/Lang Graph.<br> CV Expertise: Strong mathematical foundation in image processing and experience building custom models using OpenCV, YOLO architectures, and PyTorch Vision.<br> MLOps: Proven ability to build CI/CD pipelines for machine learning models, manage model registries, and monitor model drift in production.<br> Experience with building and deploying Autonomous AI Agents (e.<br>g., using Langchain,langgraph,Crew ai ).<br> Background in edge deployment for Computer Vision models (TensorRT, ONNX).<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>BlackStone eIT is actively looking for a dedicated AI Team Lead to spearhead our Artificial Intelligence initiatives.<br> This role involves leading a talented team of AI professionals to create innovative AI-driven solutions that align with the company's vision.<br> You will play a crucial part in strategizing, developing, and deploying AI technologies that enhance our products and services while maintaining the highest standards of excellence.<br> Responsibilities: Lead the AI team in designing, developing, and implementing AI models and systems.<br> Collaborate with stakeholders to identify AI opportunities that drive business value.<br> Guide the team to effectively use machine learning frameworks and tools.<br> Oversee project lifecycle from research and prototyping to production deployment.<br> Maintain knowledge of latest trends and advancements in AI and machine learning.<br> Establish best practices and foster a culture of continuous improvement and innovation.<br> Paid Time Off Performance Bonus Training &amp; Development Experience: 6+ years of hands-on experience in Machine Learning, Deep Learning, or AI Engineering.<br> 3+ years of experience in a technical leadership or mentoring role.<br> Programming &amp; Frameworks: Expert-level proficiency in Python and deep learning frameworks (PyTorch is strongly preferred, or TensorFlow).<br> Cloud Infrastructure: Extensive, hands-on experience with Microsoft Azure, specifically building training and deployment pipelines using Azure ML workspace, MLflow, and container orchestration (Docker/Kubernetes).<br> NLP Expertise: Deep understanding of modern NLP architectures (Transformers, BERT, GPT variants), tokenization, vector databases, and libraries like Hugging Face and Lang Chain/Lang Graph.<br> CV Expertise: Strong mathematical foundation in image processing and experience building custom models using OpenCV, YOLO architectures, and PyTorch Vision.<br> MLOps: Proven ability to build CI/CD pipelines for machine learning models, manage model registries, and monitor model drift in production.<br> Experience with building and deploying Autonomous AI Agents (e.<br>g., using Langchain,langgraph,Crew ai ).<br> Background in edge deployment for Computer Vision models (TensorRT, ONNX).<br></span> </div>

<p><h4>Description</h4> <p>Remote junior AI engineer – computer vision<br> Location: Remote<br> Employment type: Full-time (8 hours) remotely<br> Experience level: Junior (5+ years)</p> <p>InnovationTeam is a forward-thinking technology company that delivers advanced AI and data-driven solutions across multiple industries. We are currently seeking a junior AI engineer – computer vision to join our AI engineering team.</p> <p>As a junior computer vision engineer at InnovationTeam, you will be responsible for designing, developing, and deploying vision-based AI systems for real-world, production environments. You will work closely with cross-functional teams to build scalable image and video analytics solutions.</p> <p>This position requires strong expertise in computer vision, deep learning, and software engineering. The ideal candidate is technically strong, self-driven, and experienced in taking AI models from research to production.</p> <p>At InnovationTeam, we foster a culture of innovation, collaboration, and technical excellence, offering an environment where junior engineers can make a meaningful impact.</p> <h4>Role overview</h4> <p>We are seeking a skilled AI engineer with a strong focus on computer vision to develop, optimize, and deploy vision-based AI solutions. The role involves working on real-world image and video analytics problems and delivering production-ready AI systems.</p> <h4>Requirements</h4> <ul> <li>Develop and train computer vision models for image and video analysis.</li> <li>Implement solutions for object detection, image classification, segmentation, and tracking.</li> <li>Prepare and manage datasets, including data cleaning, labelling, and augmentation.</li> <li>Optimize models for GPU performance, inference speed, and scalability.</li> <li>Deploy AI models into production using APIs and containerized services.</li> <li>Integrate computer vision models with broader AI and analytics platforms.</li> <li>Collaborate with software engineers, data scientists, and product teams.</li> <li>Maintain documentation and ensure code quality and reproducibility.</li> </ul> <h4>Required skills & qualifications</h4> <ul> <li>Minimum 2 years of hands-on experience in AI / machine learning / deep learning with a focus on computer vision.</li> <li>Master’s degree in computer science, software engineering, artificial intelligence, engineering, or a related field.</li> <li>Strong knowledge of computer vision concepts and algorithms.</li> <li>Practical experience with CNN-based models and modern CV architectures.</li> <li>Proficiency in Python and common ML/CV libraries (PyTorch or TensorFlow, OpenCV).</li> <li>Experience with object detection and segmentation frameworks (e.g., YOLO, Detectron2).</li> <li>Understanding of model evaluation, metrics, and performance optimization.</li> <li>Experience deploying models in cloud or on-prem environments.</li> <li>Familiarity with Docker and basic MLOps practices.</li> <li>Excellent English communication skills (written and spoken).</li> </ul> <h4>Nice to have</h4> <ul> <li>Experience with video analytics or real-time inference.</li> <li>Exposure to vision transformers or multimodal AI.</li> <li>Experience with GPU-based training and inference.</li> <li>Knowledge of cloud platforms (OCI, AWS, Azure, or GCP).</li> <li>Background in domains such as healthcare, smart cities, or industrial AI.</li> </ul> <h4>Benefits</h4> <ul> <li>Work on practical, production-grade computer vision solutions.</li> <li>Access to GPU infrastructure and modern AI tooling.</li> <li>Collaborative, engineering-focused work environment.</li> <li>Opportunities for growth and advanced AI exposure.</li> <li>Competitive compensation package.</li> </ul></p><p></p>

<p><h4>Description</h4> <p>Remote junior AI engineer – computer vision<br> Location: Remote<br> Employment type: Full-time (8 hours) remotely<br> Experience level: Junior (5+ years)</p> <p>InnovationTeam is a forward-thinking technology company that delivers advanced AI and data-driven solutions across multiple industries. We are currently seeking a junior AI engineer – computer vision to join our AI engineering team.</p> <p>As a junior computer vision engineer at InnovationTeam, you will be responsible for designing, developing, and deploying vision-based AI systems for real-world, production environments. You will work closely with cross-functional teams to build scalable image and video analytics solutions.</p> <p>This position requires strong expertise in computer vision, deep learning, and software engineering. The ideal candidate is technically strong, self-driven, and experienced in taking AI models from research to production.</p> <p>At InnovationTeam, we foster a culture of innovation, collaboration, and technical excellence, offering an environment where junior engineers can make a meaningful impact.</p> <h4>Role overview</h4> <p>We are seeking a skilled AI engineer with a strong focus on computer vision to develop, optimize, and deploy vision-based AI solutions. The role involves working on real-world image and video analytics problems and delivering production-ready AI systems.</p> <h4>Requirements</h4> <ul> <li>Develop and train computer vision models for image and video analysis.</li> <li>Implement solutions for object detection, image classification, segmentation, and tracking.</li> <li>Prepare and manage datasets, including data cleaning, labelling, and augmentation.</li> <li>Optimize models for GPU performance, inference speed, and scalability.</li> <li>Deploy AI models into production using APIs and containerized services.</li> <li>Integrate computer vision models with broader AI and analytics platforms.</li> <li>Collaborate with software engineers, data scientists, and product teams.</li> <li>Maintain documentation and ensure code quality and reproducibility.</li> </ul> <h4>Required skills & qualifications</h4> <ul> <li>Minimum 2 years of hands-on experience in AI / machine learning / deep learning with a focus on computer vision.</li> <li>Master’s degree in computer science, software engineering, artificial intelligence, engineering, or a related field.</li> <li>Strong knowledge of computer vision concepts and algorithms.</li> <li>Practical experience with CNN-based models and modern CV architectures.</li> <li>Proficiency in Python and common ML / CV libraries (PyTorch or TensorFlow, OpenCV).</li> <li>Experience with object detection and segmentation frameworks (e.g., YOLO, Detectron2).</li> <li>Understanding of model evaluation, metrics, and performance optimization.</li> <li>Experience deploying models in cloud or on-prem environments.</li> <li>Familiarity with Docker and basic MLOps practices.</li> <li>Excellent English communication skills (written and spoken).</li> </ul> <h4>Nice to have</h4> <ul> <li>Experience with video analytics or real-time inference.</li> <li>Exposure to vision transformers or multimodal AI.</li> <li>Experience with GPU-based training and inference.</li> <li>Knowledge of cloud platforms (OCI, AWS, Azure, or GCP).</li> <li>Background in domains such as healthcare, smart cities, or industrial AI.</li> </ul> <h4>Benefits</h4> <ul> <li>Work on practical, production-grade computer vision solutions.</li> <li>Access to GPU infrastructure and modern AI tooling.</li> <li>Collaborative, engineering-focused work environment.</li> <li>Opportunities for growth and advanced AI exposure.</li> <li>Competitive compensation package.</li> </ul></p><p></p>

<p><h4>Description</h4> <p>InnovationTeam is a forward-thinking technology company that delivers advanced AI and data-driven solutions across multiple industries. We are currently seeking a junior AI engineer – computer vision to join our AI engineering team.</p> <p>As a junior computer vision engineer at InnovationTeam, you will be responsible for designing, developing, and deploying vision-based AI systems for real-world, production environments. You will work closely with cross-functional teams to build scalable image and video analytics solutions.</p> <p>This position requires strong expertise in computer vision, deep learning, and software engineering. The ideal candidate is technically strong, self-driven, and experienced in taking AI models from research to production.</p> <p>At InnovationTeam, we foster a culture of innovation, collaboration, and technical excellence, offering an environment where junior engineers can make a meaningful impact.</p> <h4>Role overview</h4> <p>We are seeking a skilled AI engineer with a strong focus on computer vision to develop, optimize, and deploy vision-based AI solutions. The role involves working on real-world image and video analytics problems and delivering production-ready AI systems.</p> <h4>Key responsibilities</h4> <ul> <li>Develop and train computer vision models for image and video analysis.</li> <li>Implement solutions for object detection, image classification, segmentation, and tracking.</li> <li>Prepare and manage datasets, including data cleaning, labeling, and augmentation.</li> <li>Optimize models for GPU performance, inference speed, and scalability.</li> <li>Deploy AI models into production using APIs and containerized services.</li> <li>Integrate computer vision models with broader AI and analytics platforms.</li> <li>Collaborate with software engineers, data scientists, and product teams.</li> <li>Maintain documentation and ensure code quality and reproducibility.</li> </ul> <h4>Required skills & qualifications</h4> <ul> <li>Minimum 2 years of hands-on experience in AI, machine learning, or deep learning with a focus on computer vision.</li> <li>Master’s degree in computer science, software engineering, artificial intelligence, engineering, or a related field.</li> <li>Strong knowledge of computer vision concepts and algorithms.</li> <li>Practical experience with CNN-based models and modern CV architectures.</li> <li>Proficiency in Python and common ML/CV libraries (PyTorch or TensorFlow, OpenCV).</li> <li>Experience with object detection and segmentation frameworks (e.g., YOLO, Detectron2).</li> <li>Understanding of model evaluation, metrics, and performance optimization.</li> <li>Experience deploying models in cloud or on-prem environments.</li> <li>Familiarity with Docker and basic MLOps practices.</li> <li>Excellent English communication skills (written and spoken).</li> </ul> <h4>Nice to have</h4> <ul> <li>Experience with video analytics or real-time inference.</li> <li>Exposure to vision transformers or multimodal AI.</li> <li>Experience with GPU-based training and inference.</li> <li>Knowledge of cloud platforms (OCI, AWS, Azure, or GCP).</li> <li>Background in domains such as healthcare, smart cities, or industrial AI.</li> </ul> <h4>What we offer</h4> <ul> <li>Work on practical, production-grade computer vision solutions.</li> <li>Access to GPU infrastructure and modern AI tooling.</li> <li>Collaborative, engineering-focused work environment.</li> <li>Opportunities for growth and advanced AI exposure.</li> <li>Competitive compensation package.</li> </ul></p><p></p>

<p><h4>Description</h4> <p>InnovationTeam is a forward-thinking technology company that delivers advanced AI and data-driven solutions across multiple industries. We are currently seeking a junior AI engineer – computer vision to join our AI engineering team.</p> <p>As a junior computer vision engineer at InnovationTeam, you will be responsible for designing, developing, and deploying vision-based AI systems for real-world, production environments. You will work closely with cross-functional teams to build scalable image and video analytics solutions.</p> <p>This position requires strong expertise in computer vision, deep learning, and software engineering. The ideal candidate is technically strong, self-driven, and experienced in taking AI models from research to production.</p> <p>At InnovationTeam, we foster a culture of innovation, collaboration, and technical excellence, offering an environment where junior engineers can make a meaningful impact.</p> <h4>Role overview</h4> <p>We are seeking a skilled AI engineer with a strong focus on computer vision to develop, optimize, and deploy vision-based AI solutions. The role involves working on real-world image and video analytics problems and delivering production-ready AI systems.</p> <h4>Key responsibilities</h4> <ul> <li>Develop and train computer vision models for image and video analysis.</li> <li>Implement solutions for object detection, image classification, segmentation, and tracking.</li> <li>Prepare and manage datasets, including data cleaning, labeling, and augmentation.</li> <li>Optimize models for GPU performance, inference speed, and scalability.</li> <li>Deploy AI models into production using APIs and containerized services.</li> <li>Integrate computer vision models with broader AI and analytics platforms.</li> <li>Collaborate with software engineers, data scientists, and product teams.</li> <li>Maintain documentation and ensure code quality and reproducibility.</li> </ul> <h4>Required skills & qualifications</h4> <ul> <li>Minimum 2 years of hands-on experience in AI, machine learning, or deep learning with a focus on computer vision.</li> <li>Master’s degree in computer science, software engineering, artificial intelligence, engineering, or a related field.</li> <li>Strong knowledge of computer vision concepts and algorithms.</li> <li>Practical experience with CNN-based models and modern CV architectures.</li> <li>Proficiency in Python and common ML/CV libraries (PyTorch or TensorFlow, OpenCV).</li> <li>Experience with object detection and segmentation frameworks (e.g., YOLO, Detectron2).</li> <li>Understanding of model evaluation, metrics, and performance optimization.</li> <li>Experience deploying models in cloud or on-prem environments.</li> <li>Familiarity with Docker and basic MLOps practices.</li> <li>Excellent English communication skills (written and spoken).</li> </ul> <h4>Nice to have</h4> <ul> <li>Experience with video analytics or real-time inference.</li> <li>Exposure to vision transformers or multimodal AI.</li> <li>Experience with GPU-based training and inference.</li> <li>Knowledge of cloud platforms (OCI, AWS, Azure, or GCP).</li> <li>Background in domains such as healthcare, smart cities, or industrial AI.</li> </ul> <h4>What we offer</h4> <ul> <li>Work on practical, production-grade computer vision solutions.</li> <li>Access to GPU infrastructure and modern AI tooling.</li> <li>Collaborative, engineering-focused work environment.</li> <li>Opportunities for growth and advanced AI exposure.</li> <li>Competitive compensation package.</li> </ul></p><p></p>

<p><h4>Description</h4> <p>Remote junior AI engineer – computer vision<br> Location: Remote<br> Employment type: Full-time (8 hours) remotely<br> Experience level: Junior (5+ years)</p> <p>InnovationTeam is a forward-thinking technology company that delivers advanced AI and data-driven solutions across multiple industries. We are currently seeking a junior AI engineer – computer vision to join our AI engineering team.</p> <p>As a junior computer vision engineer at InnovationTeam, you will be responsible for designing, developing, and deploying vision-based AI systems for real-world, production environments. You will work closely with cross-functional teams to build scalable image and video analytics solutions.</p> <p>This position requires strong expertise in computer vision, deep learning, and software engineering. The ideal candidate is technically strong, self-driven, and experienced in taking AI models from research to production.</p> <p>At InnovationTeam, we foster a culture of innovation, collaboration, and technical excellence, offering an environment where junior engineers can make a meaningful impact.</p> <h4>Role overview</h4> <p>We are seeking a skilled AI engineer with a strong focus on computer vision to develop, optimize, and deploy vision-based AI solutions. The role involves working on real-world image and video analytics problems and delivering production-ready AI systems.</p> <h4>Requirements</h4> <ul> <li>Develop and train computer vision models for image and video analysis.</li> <li>Implement solutions for object detection, image classification, segmentation, and tracking.</li> <li>Prepare and manage datasets, including data cleaning, labelling, and augmentation.</li> <li>Optimize models for GPU performance, inference speed, and scalability.</li> <li>Deploy AI models into production using APIs and containerized services.</li> <li>Integrate computer vision models with broader AI and analytics platforms.</li> <li>Collaborate with software engineers, data scientists, and product teams.</li> <li>Maintain documentation and ensure code quality and reproducibility.</li> </ul> <h4>Required skills & qualifications</h4> <ul> <li>Minimum 2 years of hands-on experience in AI / machine learning / deep learning with a focus on computer vision.</li> <li>Master’s degree in computer science, software engineering, artificial intelligence, engineering, or a related field.</li> <li>Strong knowledge of computer vision concepts and algorithms.</li> <li>Practical experience with CNN-based models and modern CV architectures.</li> <li>Proficiency in Python and common ML/CV libraries (PyTorch or TensorFlow, OpenCV).</li> <li>Experience with object detection and segmentation frameworks (e.g., YOLO, Detectron2).</li> <li>Understanding of model evaluation, metrics, and performance optimization.</li> <li>Experience deploying models in cloud or on-prem environments.</li> <li>Familiarity with Docker and basic MLOps practices.</li> <li>Excellent English communication skills (written and spoken).</li> </ul> <h4>Nice to have</h4> <ul> <li>Experience with video analytics or real-time inference.</li> <li>Exposure to vision transformers or multimodal AI.</li> <li>Experience with GPU-based training and inference.</li> <li>Knowledge of cloud platforms (OCI, AWS, Azure, or GCP).</li> <li>Background in domains such as healthcare, smart cities, or industrial AI.</li> </ul> <h4>Benefits</h4> <ul> <li>Work on practical, production-grade computer vision solutions.</li> <li>Access to GPU infrastructure and modern AI tooling.</li> <li>Collaborative, engineering-focused work environment.</li> <li>Opportunities for growth and advanced AI exposure.</li> <li>Competitive compensation package.</li> </ul></p><p></p>

<p><h4>Description</h4> <p>Remote junior AI engineer – computer vision<br> Location: Remote<br> Employment type: Full-time (8 hours) remotely<br> Experience level: Junior (5+ years)</p> <p>InnovationTeam is a forward-thinking technology company that delivers advanced AI and data-driven solutions across multiple industries. We are currently seeking a junior AI engineer – computer vision to join our AI engineering team.</p> <p>As a junior computer vision engineer at InnovationTeam, you will be responsible for designing, developing, and deploying vision-based AI systems for real-world, production environments. You will work closely with cross-functional teams to build scalable image and video analytics solutions.</p> <p>This position requires strong expertise in computer vision, deep learning, and software engineering. The ideal candidate is technically strong, self-driven, and experienced in taking AI models from research to production.</p> <p>At InnovationTeam, we foster a culture of innovation, collaboration, and technical excellence, offering an environment where junior engineers can make a meaningful impact.</p> <h4>Role overview</h4> <p>We are seeking a skilled AI engineer with a strong focus on computer vision to develop, optimize, and deploy vision-based AI solutions. The role involves working on real-world image and video analytics problems and delivering production-ready AI systems.</p> <h4>Requirements</h4> <ul> <li>Develop and train computer vision models for image and video analysis.</li> <li>Implement solutions for object detection, image classification, segmentation, and tracking.</li> <li>Prepare and manage datasets, including data cleaning, labelling, and augmentation.</li> <li>Optimize models for GPU performance, inference speed, and scalability.</li> <li>Deploy AI models into production using APIs and containerized services.</li> <li>Integrate computer vision models with broader AI and analytics platforms.</li> <li>Collaborate with software engineers, data scientists, and product teams.</li> <li>Maintain documentation and ensure code quality and reproducibility.</li> </ul> <h4>Required skills & qualifications</h4> <ul> <li>Minimum 2 years of hands-on experience in AI / machine learning / deep learning with a focus on computer vision.</li> <li>Master’s degree in computer science, software engineering, artificial intelligence, engineering, or a related field.</li> <li>Strong knowledge of computer vision concepts and algorithms.</li> <li>Practical experience with CNN-based models and modern CV architectures.</li> <li>Proficiency in Python and common ML / CV libraries (PyTorch or TensorFlow, OpenCV).</li> <li>Experience with object detection and segmentation frameworks (e.g., YOLO, Detectron2).</li> <li>Understanding of model evaluation, metrics, and performance optimization.</li> <li>Experience deploying models in cloud or on-prem environments.</li> <li>Familiarity with Docker and basic MLOps practices.</li> <li>Excellent English communication skills (written and spoken).</li> </ul> <h4>Nice to have</h4> <ul> <li>Experience with video analytics or real-time inference.</li> <li>Exposure to vision transformers or multimodal AI.</li> <li>Experience with GPU-based training and inference.</li> <li>Knowledge of cloud platforms (OCI, AWS, Azure, or GCP).</li> <li>Background in domains such as healthcare, smart cities, or industrial AI.</li> </ul> <h4>Benefits</h4> <ul> <li>Work on practical, production-grade computer vision solutions.</li> <li>Access to GPU infrastructure and modern AI tooling.</li> <li>Collaborative, engineering-focused work environment.</li> <li>Opportunities for growth and advanced AI exposure.</li> <li>Competitive compensation package.</li> </ul></p><p></p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>AI Trainer Location Irbid Jordan Job Type Full Time Onsite Language Requirement Arabic and English About the Role We are looking for a passionate and experienced AI Trainer to join our team in Irbid Jordan. The ideal candidate will have strong expertise in Artificial Intelligence Data Science and Machine Learning along with excellent teaching and communication skills. The role involves delivering practical and industry relevant training programs to adult learners and helping develop the next generation of AI professionals. Key Responsibilities Deliver training sessions on Artificial Intelligence Machine Learning Deep Learning Data Science Python Computer Vision Natural Language Processing and Large Language Models Develop training materials lesson plans assignments projects and assessments Customize training content based on learner skill levels and requirements Guide participants through hands on projects capstone assignments and real world AI use cases Provide technical feedback on coding assignments and project outcomes Monitor trainee progress and prepare performance reports Stay updated with the latest AI technologies tools and industry trends Collaborate with internal teams to improve training content and delivery Support learners in building AI portfolios GitHub repositories and practical projects Conduct mentoring sessions office hours and one on one coaching when required Requirements Bachelor degree in Computer Science Artificial Intelligence Data Science Software Engineering or a related field Minimum 4 years of experience in AI training teaching or technical instruction Strong practical knowledge of Python Pandas NumPy Scikit Learn TensorFlow and PyTorch Hands on experience with Machine Learning Deep Learning Natural Language Processing Large Language Models Computer Vision OpenCV Vision Language Models Data Science Data Analysis and MLOps fundamentals Excellent presentation classroom management and communication skills Ability to explain complex technical concepts to non technical audiences Experience training adult learners or corporate professionals is preferred Fluency in Arabic and English is required Ability to work onsite full time in Irbid Jordan<strong> </strong></p><br><br><br></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Preferred Skills Experience with Azure AI AWS SageMaker or Google Cloud AI Knowledge of Jupyter Notebook Google Colab Git and GitHub Experience in curriculum design and instructional content development Understanding of AI ethics responsible AI and AI governance Experience delivering bilingual training in Arabic and English Relevant certifications such as NVIDIA Deep Learning Institute Google Professional Machine Learning Engineer IBM Data Science Professional Certificate Microsoft Azure AI Engineer AI 102 or DeepLearning AI specializations are an advantage Candidates with published research technical articles or open source AI contributions will be preferred</p><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Job Description InnovationTeam is a forward-thinking technology company that delivers advanced AI and data-driven solutions across multiple industries.<br> We are currently seeking a Junior AI Engineer – Computer Vision to join our AI engineering team.<br> As a Junior Computer Vision Engineer at InnovationTeam , you will be responsible for designing, developing, and deploying vision-based AI systems for real-world, production environments.<br> You will work closely with cross-functional teams to build scalable image and video analytics solutions.<br> This position requires strong expertise in computer vision, deep learning, and software engineering.<br> The ideal candidate is technically strong, self-driven, and experienced in taking AI models from research to production.<br> At InnovationTeam , we foster a culture of innovation, collaboration, and technical excellence, offering an environment where Junior engineers can make a meaningful impact.<br> Role Overview We are seeking a skilled AI Engineer with a strong focus on Computer Vision to develop, optimize, and deploy vision-based AI solutions.<br> The role involves working on real-world image and video analytics problems and delivering production-ready AI systems.<br> Key Responsibilities · Develop and train Computer Vision models for image and video analysis.<br> · Implement solutions for object detection, image classification, segmentation, and tracking.<br> · Prepare and manage datasets, including data cleaning, labelling, and augmentation.<br> · Optimize models for GPU performance, inference speed, and scalability.<br> · Deploy AI models into production using APIs and containerized services.<br> · Integrate Computer Vision models with broader AI and analytics platforms.<br> · Collaborate with software engineers, data scientists, and product teams.<br> · Maintain documentation and ensure code quality and reproducibility.<br> Required Skills &amp; Qualifications · Minimum 2 years of hands-on experience in AI / Machine Learning/Deep learning with a focus on Computer Vision.<br> · Master’s degree in computer science, software Engineering, Artificial Intelligence, Engineering, or a related field.<br> · Strong knowledge of Computer Vision concepts and algorithms.<br> · Practical experience with CNN-based models and modern CV architectures.<br> · Proficiency in Python and common ML/CV libraries (PyTorch or TensorFlow, OpenCV).<br> · Experience with object detection and segmentation frameworks (e.<br>g., YOLO, Detectron2).<br> · Understanding of model evaluation, metrics, and performance optimization.<br> · Experience deploying models in cloud or on-prem environments.<br> · Familiarity with Docker and basic MLOps practices.<br> · Excellent English communication skills (written and spoken).<br> Nice to Have · Experience with video analytics or real-time inference.<br> · Exposure to Vision Transformers or multimodal AI.<br> · Experience with GPU-based training and inference.<br> · Knowledge of cloud platforms (OCI, AWS, Azure, or GCP).<br> · Background in domains such as healthcare, smart cities, or industrial AI.<br> What We Offer · Work on practical, production-grade Computer Vision solutions.<br> · Access to GPU infrastructure and modern AI tooling.<br> · Collaborative, engineering-focused work environment.<br> · Opportunities for growth and advanced AI exposure.<br> · Competitive compensation package.<br></span> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We are looking for a talented Sr. Specialist. Data Scientist to join us. At Hikma you ll be supported by a culture of progress and belonging where people are encouraged to develop, wellbeing is prioritised and our inclusive approach values contributions from all. We re seeking candidates who embody our values: Innovative, driven to keep learning; Caring, genuinely compassionate in their work; and Collaborative, eager to solve problems together.</p><p>If you want to be part of a team that cares about impact, this is the place for you.</p><h3>Key Responsibilities:</h3><ul><li>Develop and deploy machine learning models to enhance financial forecasting, anomaly detection, and predictive analytics.</li><li>Work with large datasets from SAP ECC, ERP systems, and external sources, integrating them into Azure Databricks for analytics.</li><li>Collaborate with finance, accounting, and business teams to understand challenges and develop data-driven solutions.</li><li>Design and optimize data pipelines to enable ML model training, validation, and deployment.</li><li>Utilize LLM, NLP, time-series analysis, and deep learning where applicable to extract insights from structured and unstructured data.</li><li>Develop interactive dashboards and visualizations to communicate insights to finance and business stakeholders.</li><li>Ensure data quality, governance, and compliance while handling sensitive financial data.</li><li>Utilize automation tools such as Selenium to streamline data collection and processing workflows</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>We are looking for candidates whose experience and skills align closely with the qualifications outlined below:</p><p>Minimum: Bachelor s in Data Science, Computer Science, Statistics, Mathematics, or a related field.</p><p>Preferred: Master s degree in Data Science or a related field.</p><p>At least 4-7 years experience in data science and machine learning.</p><p>Experience in a Finance department is plus.</p><h3>Skills:</h3><p>Strong proficiency in Python (including Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch).</p><p>Experience with Databricks and Azure Databricks for large scale data processing and ML model deployment.</p><p>Hands-on experience with SQL and working with relational databases.</p><p>Knowledge of big data processing frameworks such as PySpark.</p><p>Expertise in ETL/ELT processes and working with structured and unstructured datasets.</p><p>Experience with data visualization tools such as Power BI, Tableau.</p><p>Strong problem-solving, analytical, and critical-thinking skills.</p><p>Experience with LLMs and NLP-based solutions for data enrichment and smart automation.</p><p>Proficiency in English, both written and verbal, for effective communication with finance and business stakeholders.</p><p></p></section>