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Associate Lead Data Scientist - AI/ML Job

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Ahmedabad, Gujarat, India
Information Technology
Full-Time
YASH Technologies Middle East

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Associate Lead Data Scientist - AI/ML Job

Date: Sep 10, 2025

Job Requisition Id: 60918

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, we’re 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: Associate Lead Data Scientist

We are seeking a talented and driven Associate Lead Data Scientist to join our growing data science team. This role is a unique opportunity to blend advanced technical skills with emerging leadership responsibilities. You will contribute to the design and execution of complex data science projects, mentor junior data scientists, and translate data insights into actionable business strategies. You will play a crucial role in driving innovation and delivering impactful solutions that leverage the power of data.

Experience: 6–9 Years

Job Type: Full-time

Responsibilities:

  • Lead small GenAI projects and PoCs.
  • Review model design and data pipeline implementation.
  • Mentor junior team members and support RAG use case implementation.
  • Ensure scalable and reusable component design.

Required Skills:

  • Strong skills in ML, NLP, LangChain, LangGraph.
  • Experience with cloud services and scalable ML infra (EKS, Lambda).
  • Proficiency in experimentation, performance tuning.

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

Apply now »

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  • Start apply with LinkedIn
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