SapidBlue Technologies

Description :Job Title : Principal Machine Learning EngineerExperience : Minimum 5 yearsEmployment Type : Full-timeAbout the Role :We are looking for an experienced Principal Machine Learning Engineer to architect and implement advanced multimodal RAG (Retrieval-Augmented Generation) pipelines that integrate vision and language understanding.The ideal candidate will bring deep expertise in Machine Learning, Computer Vision, and Natural Language Processing (NLP), with hands-on experience in building scalable AI systems and deploying them using AWS AI services.Key Responsibilities :- Architect and implement end-to-end multimodal RAG pipelines, integrating text, image, and other data modalities.- Apply MLOps best practices for model deployment, monitoring, and continuous improvement using AWS AI services.- Design and optimize vector databases and embedding retrieval mechanisms for large-scale systems.- Lead fine-tuning and optimization of Large Language Models (LLMs) using advanced techniques like LoRA, QLoRA, and RLHF.- Collaborate with cross-functional teams to integrate ML systems into production environments.- Research and prototype new vision-language models and multimodal architectures.- Drive scalable deployment strategies for open-source LLMs and manage continuous performance optimization.- Mentor junior engineers and contribute to the teams overall technical direction.Required Skills & Qualifications :- 5+ years of experience in Machine Learning, Computer Vision, NLP, or related fields.- Strong understanding of multimodal learning and vision-language models.- Proven experience building and deploying RAG systems and managing vector databases.- In-depth knowledge of PyTorch, Transformers, and modern ML frameworks.- Proficiency in NLP, LLM fine-tuning, and model optimization.- Hands-on experience with AWS AI/ML services, including model deployment and lifecycle management.- Familiarity with open-source LLM architectures (e.g., LLaMA, Falcon, Mistral, etc.)- Excellent problem-solving, communication, and leadership skills.Preferred Qualifications :- Experience with multi-cloud or hybrid AI infrastructure.- Contributions to open-source ML or LLM frameworks.- Advanced degree (Masters or Ph.D.) in Computer Science, Machine Learning, or related disciplines (ref:hirist.tech)