Machine Learning Engineer (GEN AI)

Core Skills- Design and develop Generative AI applications and solutions using LLMs and open-source frameworks. - Understand the business requirements and translate into Gen AI solution design that successfully meets the business objectives - Prototype and experiment with new GenAI techniques and approaches. - Contribute to the development, integration, and improvement of internal GenAI service or tools. - Implement performance efficient RAG, Fine tuning models, and Prompt engineering techniques with GenAI solutions. - Lead the integration of LLMs and LangChain into business processes. - Collaborate with application team on user needs and translate them into actionable GenAI solutions. - Communicate effectively with technical and non-technical stakeholders. - Stay up-to-date on the latest advancements in Generative AI research and development.Qualifications:- Bachelor's degree with 8-11 years of AI/ML experience. - Experienced in developing GenAI applications and integration of GenAI with existing applications. - Strong understanding of machine learning concepts and algorithms, especially related to Generative AI and LLMs. - Experienced with Open-source frameworks like langchain and llamaindex, RAG, Prompt engineering and fine tuning LLM models, NLP and other relevant AI subfields. - Experience with Python and other relevant programming languages (e.g., Java, JavaScript). - Experience with building and deploying ML models is preferred. - Excellent communication, collaboration, and problem-solving skills. - Strong curiosity and a passion for learning and exploring new technologies. - Ability to work independently and as part of a team. - Experience with cloud platforms (e.g., AWS, Azure and GCP). - LLMOps/MLOps experience.

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