Senior Machine Learning Engineer
Quantiphi
Senior Machine Learning Engineer at Quantiphi is a full time role based in IN KA Bengaluru, India. It was published on 29 July 2026 and was open at last check.
| Role | Senior Machine Learning Engineer |
|---|---|
| Company | Quantiphi |
| Location | IN KA Bengaluru, India |
| Employment type | Full Time |
| Published | 29 July 2026 |
| Status | Open at last check |
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!
Create your free OnJob profile to apply — we'll take you to Quantiphi's application after sign-up. · Posted 29 Jul 2026.
Senior Machine Learning Engineer at Quantiphi — questions answered
What does the Senior Machine Learning Engineer role at Quantiphi pay?
Quantiphi does not publish a salary on this Senior Machine Learning Engineer listing, so OnJob shows no figure for it rather than an estimate. For what this role pays across the market, the OnJob salary guides aggregate the live listings that do disclose pay.
Where is the Senior Machine Learning Engineer role at Quantiphi based?
Quantiphi lists this Senior Machine Learning Engineer role in IN KA Bengaluru, India, advertised as full time work at that location. Larger employers sometimes cover several sites under one city name, so confirm the exact office with Quantiphi before you apply.
Is the Senior Machine Learning Engineer role at Quantiphi still open?
The Senior Machine Learning Engineer posting at Quantiphi was open at OnJob's last check of the employer's careers page, having been published on 29 July 2026. OnJob re-checks source listings on each build and marks a role closed once it disappears, but listings can close without notice, so the employer's own page is the final word.
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