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574995 Analytics Senior Associate Data Scientist with Python
NITYOBengaluru, Karnataka, India | Chennai, Tamil Nadu, India | Hyderabad, Telangana, IndiaPosted 1 months ago• Updated 4 weeks ago
Contract
Mid level
On-site
Salary
3 - 18 LPA
Experience
3-9 Years
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VHire applicants
0
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Senior Associate Data Scientist with Python
We are seeking a highly skilled Senior Associate Data Scientist with expertise in Python to join our team on a contract basis. This role involves architecting and building advanced LLM-based solutions, designing retrieval pipelines, and ensuring compliance with Responsible AI standards. The position is available in multiple locations across India, including Bengaluru, Chennai, Hyderabad, Pune, and Trivandrum.
Key Responsibilities
- Architect and build LLM-based solutions such as RAG, agents, copilots, document Q&A, and summarization.
- Design retrieval pipelines using vector/hybrid search, chunking, embeddings, and metadata.
- Implement LLM orchestration with LangChain/LlamaIndex and integrate with enterprise systems via APIs.
- Build guardrails for safety, PII redaction, and jailbreak prevention.
- Manage vector databases like Pinecone, Milvus, FAISS, Weaviate, and pgvector, along with document ingestion pipelines.
- Set up evaluation frameworks for groundedness, hallucination rate, task metrics, nDCG, and recall@k.
- Ensure Responsible AI, compliance, and data privacy (PII/PCI/GLBA).
- Build LLMOps pipelines, including CI/CD, versioning, monitoring, and cost optimization.
- Optimize model performance for latency, throughput, reranking, and caching.
- Collaborate with Product, SMEs, and Compliance teams; mentor junior engineers.
Requirements
- Minimum 4 years of experience in Python, Core Python, OOP concepts, data structures, lists, dictionaries, and Python scripting.
- Experience with LLMs, RAG, LangChain/LlamaIndex, and Vector DBs (Pinecone/Milvus/FAISS/Weaviate/pgvector).
- Proficiency in Azure OpenAI, AWS Bedrock, Vertex AI, Prompt Engineering, and LLMOps (CI/CD, monitoring, versioning).
- Familiarity with Kubernetes/Docker, API integration, RAI/PII guardrails, and retrieval evaluation (nDCG, recall@k).
- Desired skills include search & ranking (BM25, hybrid search), multimodal AI, ASR/NLP, SharePoint/Confluence connectors, Kafka streaming, LoRA/QLoRA, quantization, cost optimization, and banking domain familiarity.
- Relevant experience of 4-9 years.
- Educational qualification: Degree.
Work Arrangements
- Contract position with locations in Bengaluru, Chennai, Hyderabad, Pune, and Trivandrum.
- Remote work details are not specified.
Required Skills
Vector DBs
LLMs
RAI/PII guardrails
API integration
LLMOps
Retrieval evaluation
Prompt Engineering
Kubernetes/Docker
LangChain/LlamaIndex
Azure OpenAI
AWS Bedrock
Vertex AI
RAG
Python
ASR/NLP
Kafka streaming
SharePoint/Confluence connectors
cost optimization
LoRA/QLoRA
multimodal AI
Search & ranking
banking domain
quantization