Innover Digital - Senior Data Scientist - Generative AI

Position : Senior Data ScientistExperience : 3+ YearsShift Timings - 12:00 PM - 9PM ISTJob Location : Candidate to be based out of Anywhere in India (This is a remote opportunity)Seeking a highly skilled and motivated Data Scientist with a strong emphasis on Generative AI and Large Language Models (LLM). This role requires a unique blend of technical expertise and business insight to transition from promising hypotheses and ML experiments to fully-fledged AI/ML products with real-world impact. As a specialist in Generative AI techniques, you will work with innovative closed and open-source Gen AI models, apply standard methodologies in prompt engineering, RAG applications, and fine-tune LLM models to drive business outcomes.Key Responsibilities :- Develop and implement machine learning models, focusing on Generative AI techniques and LLM, to solve sophisticated business problems, using a variety of algorithms and techniques.- Streamline Generative AI model development and deployment using Azure infrastructure and capabilities like cognitive search and Vectordb, and frameworks such as Langchain, Llama, Semantic Kernel, and Autogen.- Apply prompt engineering techniques, work with RAG applications, and fine-tune language models to improve their performance in specific tasks.- Collaborate with multi-functional teams to plan, scope, implement, and sustain predictive analytics solutions.- Design and complete experiments to validate and optimize machine learning models, ensuring accuracy, efficiency, and scalability.- Deploy machine learning models and applications on cloud platforms like Azure ML or Databricks, ensuring seamless integration, scalability, and cost-effectiveness.- Develop measurements and feedback systems, and mentor associates and peers on MLOps & LLMOps standard methodologies.- Stay up-to-date with the latest advancements in machine learning, generative AI, prompt engineering, RAG applications, and cloud technologies, and apply them to enhance our data science capabilities.Requirements :- Hands-on experience with Gen AI-related tech stack, including Azure cognitive search, Langchain, Semantic Kernel, and agent frameworks like Autogen, Vectordb.- Experience in fine-tuning open-source models like Llama, Phi2 is a bonus.- Experience with Open AI APIs, Fine tuning and Assistant APIs- Proven experience as a Data Scientist, with a strong focus on machine learning, generative AI, prompt engineering, and RAG applications.- Working knowledge of Cloud, Architecture, REST APIs to deploy inferencing and fine-tuning solutions.- Strong partner management, ability to translate sophisticated technical topics into business language, presentation skills, and an ability to balance a sense of urgency with shipping high-quality and pragmatic solutions.- Strong software development skills with proficiency in Python and advanced working SQL knowledge, preferably using the Azure stack and experience with Azure ML, Databricks, Azure Data Factory.- Experience in productionizing code through the DevOps pipeline (git, Jenkins pipeline, code scan).- Solid understanding of machine learning algorithms, statistical modeling, and data analysis techniques.- Over 4 years of experience with large-scale systems in data science/software engineering.- Bachelor's, Master's degree, or Ph.D. in Computer Science, Data Science, Statistics, or a related field. (ref:hirist.tech)