AI & Automation Developer - Machine Learning & Computer Vision

<p><p><b>Key Responsibilities : </b><br/><br/></p><p>- Develop and implement AI and automation solutions using Python and related technologies.<br/><br/></p><p>- Build RAG (Retrieval-Augmented Generation) systems for knowledge retrieval and advanced AI applications.<br/><br/></p><p>- Design and implement computer vision models for image and video analysis.<br/><br/></p><p>- Collaborate with cross-functional teams to define AI use cases and integrate solutions into business workflows.<br/><br/></p><p>- Optimize machine learning models for accuracy, scalability, and performance.<br/><br/></p><p>- Participate in the full AI development lifecycle : data collection, preprocessing, model training, evaluation, and deployment.<br/><br/></p><p>- Develop and maintain AI automation pipelines, including testing and monitoring production models.<br/><br/></p><p>- Stay updated with the latest trends and technologies in AI, machine learning, and automation.<br/><br/></p><p>- Document AI/ML processes, code, and workflows for knowledge sharing and reproducibility.<br/><br/><b>Technical Skills Required : </b><br/><br/></p><p>- Strong expertise in Python and AI/ML libraries (TensorFlow, PyTorch, scikit-learn, etc.<br/><br/></p><p>- Hands-on experience with RAG (Retrieval-Augmented Generation) frameworks.<br/><br/></p><p>- Proficiency in computer vision techniques, tools, and frameworks (OpenCV, YOLO, etc.<br/><br/></p><p>- Knowledge of NLP, deep learning, and reinforcement learning is a plus.<br/><br/></p><p>- Experience in automation tools, pipelines, and deployment frameworks.<br/><br/></p><p>- Familiarity with cloud platforms (AWS, Azure, GCP) for AI/ML workloads is preferred.<br/><br/><b>Experience : </b><br/><br/></p><p>- Minimum 5+ years of experience in AI development, machine learning, or automation engineering.<br/><br/></p><p>- Proven experience in designing and deploying AI models in production environments.<br/><br/></p><p>- Hands-on experience with computer vision and retrieval-based AI systems.<br/><br/><b>Education : </b><br/><br/></p><p>- Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or related field.<br/><br/></p><p>- Certifications in AI, machine learning, or computer vision are a plus<br/></p><br/></p> (ref:hirist.tech)