SandC Global Network - AI - Hi Tech - Data Science Sr Analyst
Talentmate
India
10th September 2025
2509-5423-2401
Job Description
Job Title - Decision Science Practitioner Sr. Analyst S&C GN
Management Level: Sr. Analyst
Location: Bangalore/ Kolkata/Gurugram/Hyderabad
Must have skills: Generative AI
Good to have skills: Data Science
Job Summary:
We are seeking a highly skilled and motivated Data Science Sr. Analyst to lead innovative projects and drive impactful solutions in domains such as Consumer Tech, Enterprise Tech, and Semiconductors. This role combines hands-on technical expertise, and client delivery management to execute cutting-edge projects in Generative AI, decision science, and cloud-based analytics.
Key Responsibilities
Generative AI Expertise
Design and fine-tune GenAI models for NLP, CV, and multimodal use cases, ensuring enterprise scalability.
Architect agentic AI solutions with orchestration frameworks (LangChain, LlamaIndex, AutoGen), integrating APIs and enterprise knowledge bases.
Optimize agent workflows by defining monitoring, fine-tuning RAG pipelines, and improving context handling and reliability.
Build scalable retrieval pipelines using vector databases (Pinecone, FAISS, Weaviate, Milvus) for high-performance enterprise integration.
Cloud Platform Expertise
Design scalable AI/ML workflows on Azure or AWS for cross-functional domains with cost and performance optimization.
Leverage cloud-native MLOps tools (SageMaker, Azure ML) for model training, deployment, monitoring, and governance.
Data Science and Engineering
Develop advanced predictive models, recommendation engines, and optimization solutions, ensuring business relevance and measurable impact.
Engineer robust data pipelines and feature stores to support GenAI and ML models across structured, unstructured, and multimodal datasets.
Required Qualifications
Experience: 3+ years in data engineering/data science
Education: B tech, M tech in Computer Science, Statistics, Applied Mathematics, or related field
Technical Skills
Programming: Proficiency in Python, SQL, and libraries for NLP and Computer Vision (e.g., Hugging Face, OpenCV).
GenAI Expertise: Hands-on experience in model development (selection, fine-tuning), model evaluation and optimization, deployment architecture (design, API/integration design), multi-step reasoning workflows, and autonomous agents
Cloud Platforms: Experience with Azure and/or AWS in data science workflows.
Data Science Tools: Expertise in machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
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