Lead Data Scientist - AI/ML

As a Lead Data Scientist at YASH Technologies, you will be responsible for leading complex data science projects, mentoring junior data scientists, and driving the development of innovative solutions that leverage data to achieve business objectives. Your role will involve end-to-end delivery ownership of ML and GenAI use cases, architecting RAG pipelines, and building enterprise-scale GenAI accelerators. You will collaborate with architects and presales teams to ensure code modularity, testability, and governance. Your expertise in machine learning, statistical modeling, and data analysis will be essential in extracting actionable insights and driving strategic decision-making. Key Responsibilities: - End-to-end delivery ownership of ML and GenAI use cases - Architect RAG pipelines and build enterprise-scale GenAI accelerators - Collaborate with architects and presales teams - Ensure code modularity, testability, and governance Qualifications Required: - Experience: 8-11 years - Strong knowledge of LangChain, LangGraph, embedding techniques, and prompt engineering - Proficiency in Classical ML algorithms such as XGBoost, Random Forest, and time-series forecasting - Familiarity with the Python ML stack and FastAPI - Strong understanding of security and cloud optimization At YASH Technologies, you will have the opportunity to create a career path that aligns with your goals while working in an inclusive team environment. The company promotes continuous learning, unlearning, and relearning through career-oriented skilling models and technology-enabled intelligence. The workplace at YASH is grounded upon four principles: Flexible work arrangements, Free spirit, emotional positivity, Agile self-determination, trust, transparency, and open collaboration, and All support needed for the realization of business goals. Additionally, YASH offers stable employment with a great atmosphere and an ethical corporate culture. As a Lead Data Scientist at YASH Technologies, you will be responsible for leading complex data science projects, mentoring junior data scientists, and driving the development of innovative solutions that leverage data to achieve business objectives. Your role will involve end-to-end delivery ownership of ML and GenAI use cases, architecting RAG pipelines, and building enterprise-scale GenAI accelerators. You will collaborate with architects and presales teams to ensure code modularity, testability, and governance. Your expertise in machine learning, statistical modeling, and data analysis will be essential in extracting actionable insights and driving strategic decision-making. Key Responsibilities: - End-to-end delivery ownership of ML and GenAI use cases - Architect RAG pipelines and build enterprise-scale GenAI accelerators - Collaborate with architects and presales teams - Ensure code modularity, testability, and governance Qualifications Required: - Experience: 8-11 years - Strong knowledge of LangChain, LangGraph, embedding techniques, and prompt engineering - Proficiency in Classical ML algorithms such as XGBoost, Random Forest, and time-series forecasting - Familiarity with the Python ML stack and FastAPI - Strong understanding of security and cloud optimization At YASH Technologies, you will have the opportunity to create a career path that aligns with your goals while working in an inclusive team environment. The company promotes continuous learning, unlearning, and relearning through career-oriented skilling models and technology-enabled intelligence. The workplace at YASH is grounded upon four principles: Flexible work arrangements, Free spirit, emotional positivity, Agile self-determination, trust, transparency, and open collaboration, and All support needed for the realization of business goals. Additionally, YASH offers stable employment with a great atmosphere and an ethical corporate culture.