Machine Learning Engineer- AWS

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.