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.
Robust experience with Machine Learning and Deep Learning.
Hands-on experience with PyTorch, TensorFlow, or JAX.
Experience developing and deploying production-grade ML models.
Solid analytical, problem-solving, communication, and stakeholder management skills.
Proven experience delivering AI/ML solutions with measurable business impact.

Positive 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.

(ref:hirist.tech)

📌 Gyansys Lead/senior Data Scientist Artificial Intelligence/machine Learning Bengaluru (India)
🏢 GyanSys
📍 India