Job Title Senior Data Scientist

About The Company This global IT staffing and solutions provider has operated since 1995, bringing three decades of experience to the industry. They assist over 200 clients across various sectors in designing, building, and scaling IT projects through GCC setup, end-to-end IT solutions, and Interview-as-a-Service. With approximately 1,500 employees, the company maintains offices in Tampa, Dubai, and Mumbai.

About The Role As a Senior Data Scientist, you will be instrumental in developing and deploying cutting-edge Generative AI and NLP solutions for enterprise use cases. This role requires a strong engineering discipline to translate complex business requirements into robust, production-ready AI applications, ensuring independent design, build, deployment, and scaling.

Key Responsibilities

- Design, develop, and deploy enterprise-grade Generative AI applications using foundation models and LLMs.
- Build and optimize advanced RAG systems utilizing hybrid search, semantic search, knowledge graphs, and retrieval orchestration.
- Develop prompt engineering frameworks, context management strategies, and memory architectures.
- Implement LLM evaluation frameworks including automated testing, benchmark creation, hallucination detection, guardrails, safety controls, and model observability.




- Design AI governance mechanisms including prompt versioning, output validation, security controls, and responsible AI practices.
- Collaborate with platform teams to deploy GenAI workloads across cloud and on-premise environments.
- Design, develop, and orchestrate autonomous and semi-autonomous AI agents for enterprise use cases.
- Build robust tool-calling ecosystems integrating APIs, databases, enterprise applications, search systems, and business workflows.
- Perform end-to-end NLP solution development including data preparation, feature engineering, model development, evaluation, and deployment.

Requirements

- 3-5 years of experience.
- Btech in Cs, Mtech in Cs, Btech in IT, or Mtech in IT.
- Proficiency in Gen AI.
- Expertise in Python.
- Solid communication, documentation, architecture, and stakeholder management skills.
- Ability to translate business requirements into AI solutions and effectively communicate technical concepts to both technical and non-technical stakeholders.
- Capability for independent design, build, deploy, and scale solutions.
- Strong engineering discipline and focus on production readiness.

Nice to Have

- MLflow
- LLM

Location & Work Mode Bangalore, India — ONSITE

Employment Type FULL_TIME

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