Sr. Data Scientist - AI/ML Job

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Sr. Data Scientist - AI/ML Job

Date: Apr 11, 2025

Job Requisition Id: 60924

Location:

Hyderabad, TG, IN Indore, MP, IN Pune, IN Pune, MH, 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: Sr. Data Scientist

Experience: 4–8 Years

Job Type: Full-time

We are seeking a highly skilled and motivated Senior Data Scientist to join our dynamic team. In this role, you will leverage your advanced analytical and technical expertise to solve complex business problems and drive impactful data-driven decisions. You will design, develop, and deploy sophisticated machine learning models, conduct in-depth data analyses, and collaborate with cross-functional teams to deliver actionable insights.

Responsibilities:

• Design and implement RAG pipelines using LangChain and LangGraph.
• Integrate AWS Open Source Vector Databases (e.g., OpenSearch with KNN plugin).
• Handle complex query chaining, prompt orchestration.
• Work with graph-based knowledge representations (e.g., Neo4j, Stardog).
• Collaborate with teams to deliver scalable GenAI solutions.
  
  

Required Skills:

• Proficiency in LLMs, LangChain, and embeddings.
• Strong background in classification, regression, clustering, and NLP.
• Knowledge of AWS and DevOps (Docker, Git).
• Hands-on with FastAPI, model deployment workflows.
  
  

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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