Lead Data Scientist

7 days ago

Pune, Maharashtra, India Yash Technologies Pvt Ltd Full time ₹ 12,00,000 - ₹ 36,00,000 per year
Job Description

Lead Data Scientist - AI/ML Job

Date: Aug 26, 2025

Job Requisition Id: 62336

Location: Hyderabad, TG, IN; Pune, MH, IN; Pune, IN; Indore, MP, IN

YASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation.

At YASH, were a cluster of the brightest stars working with cutting-edge technologies. Our purpose is anchored in a single truth bringing real positive changes in an increasingly virtual world and it drives us beyond generational gaps and disruptions of the future.

We are looking forward to hire AI/ML Professionals in the following areas:

Designation: Lead Data Scientist

We are seeking a highly motivated and experienced Lead Data Scientist to join our growing team. In this role, 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. You will apply your deep expertise in machine learning, statistical modeling, and data analysis to extract actionable insights and drive strategic decision-making.

Experience: 811 Years
Job Type: Full-time

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.
Required Skills:
  • LangChain, LangGraph, embedding techniques, prompt engineering.
  • Classical ML: XGBoost, Random Forest, time-series forecasting.
  • Knowledge of Python ML stack and FastAPI.
  • Strong understanding of security and cloud optimization.

At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale.

Our Hyperlearning workplace is grounded upon four principles:

  • Flexible work arrangements, free spirit, and emotional positivity
  • Agile self-determination, trust, transparency, and open collaboration
  • All support needed for the realization of business goals
  • Stable employment with a great atmosphere and ethical corporate culture

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