Job Description
<p><p><b>Job Summary :</b></p><p><p><b><br/></b></p> We are seeking a highly skilled and innovative Python Lead Developer with strong expertise in Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Machine Learning, Deep Learning, and Computer Vision.<br/><br/></p><p> The ideal candidate will lead AI-driven solution development, mentor team members, and collaborate with stakeholders to build scalable, intelligent, and high-performance Responsibilities :</b></p><p><b><br/></b></p> - Lead design, development, and deployment of AI/ML solutions leveraging LLMs, RAG pipelines, and generative AI frameworks.<br/><br/></p><p> - Architect and implement end-to-end machine learning workflows, including data pre-processing, training, fine-tuning, evaluation, and deployment.<br/><br/></p><p> - Build scalable applications using Python frameworks and integrate AI models into production systems.<br/><br/></p><p> - Apply computer vision and deep learning techniques for image/video analytics, object detection, OCR, etc.<br/><br/></p><p> - Optimize model performance, inference speed, and cost efficiency.<br/><br/></p><p> - Stay updated with the latest advancements in NLP, LLMs, transformers, and multimodal AI.<br/><br/></p><p> - Collaborate with cross-functional teams (Data Engineers, DevOps, Product Owners) for solution delivery.<br/><br/></p><p> - Mentor and guide junior developers in AI/ML best practices and coding Skills & Experience :</b></p><p><b><br/></b></p> - 7- 13 years of professional experience in software development with at least 5+ years in Python.<br/><br/></p><p> - Proven expertise in Generative AI, LLMs (OpenAI, Hugging Face, LangChain, etc.), and RAG frameworks.<br/><br/></p><p> - Strong background in Machine Learning, Deep Learning, and Computer Vision (CNNs, YOLO, OpenCV, TensorFlow, PyTorch).<br/><br/></p><p> - Hands-on experience with NLP, embeddings, fine-tuning, and vector databases (Pinecone, FAISS, Weaviate, etc.<br/><br/></p><p> - Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps practices.<br/><br/></p><p> - Solid understanding of software architecture, design patterns, and microservices.<br/><br/></p><p> - Excellent problem-solving, analytical, and communication to Have :</b></p><p><b><br/></b></p> - Experience with multimodal AI (text, image, video, audio).<br/><br/></p><p> - Exposure to reinforcement learning (RLHF).<br/><br/></p><p> - Knowledge of Kubernetes/Docker for AI deployment.<br/><br/></p><p> - Contribution to open-source AI/ML projects.</p><br/></p> (ref:hirist.tech)