Job Role Senior Machine Learning Engineer (3-4 yr)
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:
Machine Learning Engineer with 3–4 years of experience, based in Bangalore, with a requirement to work from the client’s office 2 days a week.
Valuable exposure on Python (Pandas, Numpy, Matplotlib, Advance Python Syntax’s etc)
Hands on experience on OpenAI Framework, required to develop AI applications.
Handson experience in developing the RAG pipeline, LLM Gen AI models and Prompt Engineering.




Handover experience on creating the MCP’s (Model Context Protocol).
Exposure on Agentic frameworks like langGraph and langchain.
Exposure to the Agentic framework (like AWS Bedrock Agentcore) is mandatory.
Exposure on below AWS Services -
Bedrock Agentcore
Sagemaker Studio, ECR, API Gateway
DynamoDB and MSK
Elastic Beanstalk
Glue and Lambda
ECS, Kubernetes
Hands-on GenAI Model Providers (example : OpenAI models, Anthropic models and Gemini Models).
ML Algos : Bagging and Boosting algorithms

Good to have skills:
AWS Bedrock Models
Redshift and SQL
ML Algos : Bagging and Boosting algorithms
Knowledge of Data Pipelines (GlueJobs)

📌 Machine Learning Engineer (Bengaluru)
🏢 Quantiphi
📍 Bengaluru