GyanSys
Website:
gyansys.com
Job details:
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.
(ref:hirist.tech)
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