Senior Machine Learning Engineer

Quantiphi
Bengaluru, Karnataka, India

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!

JOB ROLE - Senior Machine Learning Engineer (4-7 yrs)

As a Senior Machine Learning Engineer at Quantiphi, you will be responsible for designing and developing advanced machine learning models and algorithms to solve complex business problems. You will work on optimizing and deploying these models on AWS infrastructure, ensuring scalability and reliability.

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!

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Questions about this job

How do I apply for the Senior Machine Learning Engineer job at Quantiphi?

Use the apply link on this page: you apply directly with Quantiphi on LinkedIn. Before you do, score your resume against this job description on Fitboard. It shows which skills and keywords the job asks for that your resume doesn't show, so you can fix them first.

What skills does Quantiphi want for this Senior Machine Learning Engineer role?

The job description asks for LangChain, LangGraph, LlamaIndex, CrewAI, Python, Pandas, NumPy and FastAPI. Make sure your resume shows the ones you have, in the words the job uses: applicant tracking systems look for them.

How can I get a job at Quantiphi?

Apply to the Quantiphi roles that match your experience, and tailor your resume to each job description: for this role that means showing LangChain, LangGraph, LlamaIndex. A resume that matches the job's own keywords is more likely to get past screening. Fitboard scores your resume against this exact job for free.

Is this Senior Machine Learning Engineer job remote or onsite?

This is based in Bengaluru, Karnataka.

Is it free to apply? Does Fitboard charge anything?

Applying is free: you apply directly with Quantiphi, and this job page and its apply link cost nothing. Checking your resume against this job is free too, with 3 free scans when you sign in and no credit card needed.

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