Time since we first saw it
Day 5
Early. Similar jobs usually come down between day 6 and day 69.
From 4,284 similar postings that came down. Coming down is not always a hire.
Senior Machine Learning Engineer
IN KA Bengaluru
Actively hiring, first seen by us 5 days ago- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingDesign and develop advanced machine learning models and algorithms
Optimize and deploy models on AWS infrastructure for scalability and reliability
Build RAG pipelines and LLM-based GenAI applications
Develop AI agents for customer query automation and knowledge base solutions
From the employer’s posting
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
Hands-on experience in developing RAG pipelines, Prompt Engineering, and LLM-based GenAI applications
Experience developing AI agents for customer query automation and Knowledge Base (KB) solutions
Posting record
Report an errorActively hiringFirst seen by us 5 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 30, 20265 days ago
- Recorded sightings
- 6
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Quantiphi is hiring
30 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- ML Engineer hiring has slowed
- Takes jobs down at a usual pace
- 3% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- AWS
- Docker
- DynamoDB
- Kubernetes
- Redshift
- S3
- SageMaker
- FastAPI
- NumPy
- pandas
Where the posting names them
- 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.
- 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.
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:
- 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.
- 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.
- 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 OpenAI, Anthropic, Gemini, or other foundation models. - Experience with Docker, Kubernetes, and MLOps practices. - Experience with Redshift, SQL, DynamoDB, or AWS Glue.
Your next step
Complete your application on quantiphi.wd1.myworkdayjobs.com. The employer’s form will show what is required.
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- Your application status lives in that employer’s Candidate Home, under the same sign-in.
Already applied? Track this application
Has Quantiphi posted this job before?
Yes. We’ve followed 8 other Senior Machine Learning Engineer jobs there since June 2026. 7 came down, usually after about 31 days. One is still up.
If this one keeps the same pace, it may come down around November 30.
Large employers often post one title for several teams, so these can be separate openings.
About the role
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
US government figures for computer and information research scientists
- Median yearly pay, May 2025
- $140,300
- Expected change, 2025 to 2035
- 21.8% more jobsagainst 3.5% for all jobs
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
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!
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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IN KA Bengaluru
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