TCS Walk-in at Kolkata
- Ecospace
- Date
- 25-Jul-26
- JD
- Hands-on experience with LLMs (e.g., Amazon Bedrock models, OpenAI-compatible models, open-source LLMs)
- Prompt engineering, prompt chaining, and context optimization
- RAG architecture design (embeddings, vector stores, retrieval strategies)
- Knowledge of fine-tuning vs prompt tuning vs adapters
- Amazon Bedrock (model selection, guardrails, orchestration)
- AWS SageMaker (training, inference, pipelines)
- AWS Lambda, ECS/EKS, Step Functions
- S3, DynamoDB, Aurora / RDS
- IAM, KMS, VPC, CloudWatch for secure AI workloads
- Experience with serverless and container-based AI architectures
- Solid proficiency in Python
- Familiarity with LangChain / LlamaIndex / Semantic Kernel
- REST APIs, FastAPI, Flask
- Embeddings and semantic search
- Vector databases such as OpenSearch, Pinecone, FAISS, Chroma
- Data preprocessing, chunking, and metadata strategies
- Location
- Kolkata
- Job Function
- TECHNOLOGY
- Role
- Developer
- Job Id
- 423158
- Desired Skills
- QlikSense

Qualifications : BACHELOR OF ENGINEERING

📌 Etl Qlik Replicate (Kolkata)
🏢 Tata Consultancy Services
📍 Kolkata