Highly Skilled Machine Learning Engineer

1 day ago

thane, India beBeeDataScientist Full time

About the PositionWe are seeking a highly skilled professional to fill this role. The ideal candidate will have a strong background in machine learning, particularly in Generative AI and Natural Language Processing.The successful candidate will be responsible for implementing end-to-end GenAI powered RAG & multi-agent systems, providing guidance on system architecture & components, building TTD system components, and routing.Implementing end-to-end GenAI powered RAG & multi-agent systems: Providing guidance on system architecture & components Building TTD system components: LLM Agents LLM Agents setup & prompt engineering / prompting strategies Routing State management Vector stores and more generally context providing Rerankers Validation and assessment rules Key Responsibilities:We're looking for an individual with expertise in various deep learning concepts, including experience with Machine Learning (ML), especially in the area of Generative AI (LLM/LMM) with focus on Natural Language Processing (NLP) or multimodal models. The candidate should also possess fluency in Python and object programming, working knowledge of SQL and vector database, and solid experience with Databricks.Familiarity with theory behind various deep learning concepts Experience with business requirements gathering, transforming them into technical plan, data processing, feature engineering, models evaluation, hypothesis testing and model deployment Fluency in Python and object programing, working knowledge of SQL and vector database Solid experience with Databricks is a must Knowledge of specific Deep Learning and GenAI libraries like: NumPy, PyTorch, HuggingFace, LangChain, LangGraph and GenAI APIs i.e. OpenAI/Gemini/Claude Nice to Have:Azure or GCP experience, commercial experience proven by multiple successful projects in the area of Generative AI, Natural Language Processing or Computer Vision will be a big plus.Additional Skills:The ideal candidate should have experience with microservice architectures, code repositories, and code assistants. Strong business acumen, ability to come up with creative solutions to address customer problems, and leadership skills to lead juniors in project teams are essential.

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