Senior Machine Learning Engineer

Job description

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth. If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi! Role : Senior Machine Learnings Engineer (AWS) Experience : 3-6 Years Location : Mumbai/Bangalore **Must have skills:** - Experience with LangChain, LangGraph, LlamaIndex, CrewAI, or similar Agentic AI frameworks. - Python: Good exposure to Python (Pandas, NumPy, FastAPI, advanced Python concepts). - AWS Bedrock: Hands-on experience with AWS Bedrock and foundation models such as Claude Haiku and Claude Sonnet. - LLM & GenAI: Hands-on experience in developing RAG pipelines, Prompt Engineering, and LLM-based GenAI applications. - ML Pipeline Architecture: Experience with Titan Embeddings, Amazon OpenSearch Vector Search, and vector-based retrieval. - Agentic AI: Hands-on experience with Agentic AI frameworks and AWS Bedrock AgentCore for developing AI agents and workflow orchestration. - AI Agents & Knowledge Base: Experience developing AI agents for customer query automation and Knowledge Base (KB) solutions. - Experience with document parsing, chunking, vectorizing and re-ranking strategies. - Guardrails & Security: Experience configuring AWS Bedrock Guardrails and implementing authentication and authorization for secure AI applications. - AWS Services: Hands-on experience with API Gateway, Lambda, S3, IAM, CloudWatch, ECR, and SageMaker. - Software Engineering: Experience with Git, REST APIs, and CI/CD pipelines. - Relevant AWS certifications (e.g., AWS Certified AI Practitioner, AWS Certified Machine Learning Engineer – Associate, or AWS Certified Solutions Architect – Associate) are a plus. **Good to have skills:** - Hands-on experience with OCR/Document Intelligence engines and NLP techniques for extracting structured information from documents and images. - Hands-on experience with Bedrock Agentcore - Hands-on experience with OpenAI, Anthropic, Gemini, or other foundation models. - Experience with Docker, Kubernetes, and MLOps practices. - Experience with Redshift, SQL, DynamoDB, or AWS Glue. - Exposure to model monitoring, evaluation, and observability for GenAI applications. - Ability to work in an Agile and DevOps environment. *If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us**!*