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Senior Data Scientist – GenAI & Traditional AI

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NStarX

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Location:
India , Hyderabad

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

We are seeking a Senior Data Scientist with strong hands-on experience across Traditional AI/ML and Generative AI (GenAI). This role will primarily focus on one project at a time, owning core experimentation and implementation workstreams, while also guiding and grooming junior data scientists to ensure consistent, high-quality delivery. You’ll work closely with the Lead Data Scientist, AI Engineers, Data Engineers, and MLOps to build scalable, production-ready AI capabilities and support client-facing discussions and demos as needed.

Job Responsibility:

  • Execute end-to-end AI/ML experimentation for a single project: problem framing, dataset readiness, feature engineering, model training/tuning, evaluation, and iteration
  • Build and optimize GenAI pipelines using proprietary and open-source models depending on project needs
  • Contribute to LLM-driven feature development with working knowledge of model behavior, embeddings, prompting strategies, context management, and evaluation
  • Implement and improve RAG pipelines (document ingestion, chunking strategies, embeddings, retrieval, reranking, grounding, and evaluation)
  • Develop agentic workflows using modern agent frameworks and tool integrations (multi-step execution, tool use, safety/guardrails)
  • Assist in defining evaluation methods for GenAI (faithfulness, relevance, hallucination risk, latency, cost)
  • Work with engineering and MLOps teams to transition experiments into production-grade pipelines
  • Contribute to performance tuning, observability, and reliability of AI services (metrics, logging, monitoring, error analysis)
  • Ensure implementation follows best practices for maintainability, scalability, and cost efficiency
  • Guide and groom junior data scientists through structured mentorship: task planning, implementation reviews, and feedback
  • Help define reusable assets (notebooks, evaluation templates, baselines, documentation) to improve team velocity and quality
  • Support the Lead Data Scientist in breaking down tasks and estimating effort for your workstream
  • Participate in technical discussions with internal stakeholders and clients
  • support demos and walkthroughs where applicable
  • Clearly communicate experimental results, trade-offs, and recommendations through structured documentation and presentations

Requirements:

  • 5+ years of hands-on experience in data science / machine learning with delivered outcomes
  • Practical experience in both Traditional ML (supervised/unsupervised methods, NLP, time series, recommendations, etc.) and GenAI (LLM-based features)
  • Hands-on experience building or contributing to RAG systems
  • familiarity with agentic frameworks is strongly preferred
  • Solid understanding of model evaluation, experimentation rigor, and iterative improvement cycles
  • Ability to independently own tasks within a project and deliver with minimal supervision
  • Experience mentoring or guiding junior team members through reviews and coaching
  • Strong communication and documentation skills

Nice to have:

  • Graduates from Tier 1 / Tier 2 colleges preferred (e.g., IITs, NITs, IIITs, BITS, top state universities and reputed private institutions)
  • Experience with enterprise-grade requirements: data privacy, security, governance, and compliance
  • Familiarity with open-source and proprietary model ecosystems and selection trade-offs
  • Exposure to MLOps/LLMOps practices (CI/CD, model/prompt versioning, monitoring, A/B testing)

Additional Information:

Job Posted:
April 16, 2026

Employment Type:
Fulltime
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