Exp range - 3 to 6 Years

Interview Process - Screening >> AI Interview >> L1 Discussion

Role Overview

- Job Role: Senior Machine Learning Engineer (3–7 years of experience).
- Location: Mumbai, Bangalore, or Trivandrum.
- Responsibilities: Designing and developing advanced ML models, and optimizing and deploying them on AWS infrastructure to ensure scalability and reliability.

Required Technical Skills

- GenAI & LLMs: Hands-on experience with RAG pipelines, Prompt Engineering, LLM-based applications, and Agentic AI frameworks (e.g., LangChain, LangGraph, CrewAI, LlamaIndex).
- AWS Bedrock & Services: Hands-on experience with AWS Bedrock (including Claude Haiku/Sonnet), AgentCore, Guardrails, and core services like Lambda, S3, IAM, and SageMaker.
- ML Architecture: Experience with Titan Embeddings, Amazon OpenSearch, vector-based retrieval,



and document processing strategies like parsing, chunking, and re-ranking.
- Programming & Engineering: Proficiency in Python (Pandas, NumPy, FastAPI) and experience with Git, REST APIs, and CI/CD pipelines.

Preferred Qualifications

- Relevant AWS certifications (e.g., AI Practitioner, ML Engineer, or Solutions Architect).
- Experience with MLOps, Docker, Kubernetes, and model monitoring.
- Knowledge of OCR/Document Intelligence, NLP techniques, and databases like Redshift, SQL, or DynamoDB.
- Familiarity with other foundation models (e.g., OpenAI, Gemini, Anthropic) and working in Agile/DevOps environments.

📌 Machine Learning Engineer- AWS (Mumbai)
🏢 Taggd
📍 Mumbai