GyanSys - Lead/Senior Data Scientist - Artificial Intelligence/Machine Learning

Role Overview: Looking for a Lead/Senior Data Scientist with strong expertise in machine learning, statistical modeling, deep learning, optimization, and production AI solutions. The role will focus on translating complex business problems into data-driven solutions and delivering measurable business outcomes. Key Responsibilities: - Analyze complex business problems and develop ML/AI-driven solutions. - Build, train, validate, and optimize machine learning and statistical models. - Apply deep learning, predictive modeling, optimization, and statistical techniques to real-world problems. - Work with large and complex datasets for feature engineering, model development, and evaluation. - Develop and evaluate LLM, GenAI, RAG, and Agentic AI use cases where applicable. - Define model evaluation frameworks and ensure accuracy, reliability, and business relevance. - Collaborate with engineering teams to transition models from experimentation to production. - Communicate analytical findings, model outcomes, and recommendations to technical and business stakeholders. - Mentor data scientists and contribute to technical standards and best practices. Required Skills: - 7+ years of experience in Data Science, Machine Learning, or AI. - Strong expertise in Python, statistics, probability, linear algebra, and optimization. - Strong experience with Machine Learning and Deep Learning. - Hands-on experience with PyTorch, TensorFlow, or JAX. - Experience developing and deploying production-grade ML models. - Strong analytical, problem-solving, communication, and stakeholder management skills. - Proven experience delivering AI/ML solutions with measurable business impact. Good to Have: - LLM/SLM, Generative AI, RAG, Agentic AI. - Reinforcement Learning and multi-agent systems. - Gurobi/CPLEX, LP/MIP, optimization, or OR experience. - Julia/SciML exposure. - Experience in semiconductor, manufacturing, or supply-chain domains.