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Open nowFirst seen 75 days ago

Senior Machine Learning Engineer - Data Analytics

Quantiphi76 open roles

Where
IN KA Bengaluru
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Your applicationOpen nowSenior Machine Learning Engineer - Data AnalyticsQuantiphi · IN KA Bengaluru

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

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The reply lands in your private mailbox

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The clock on this job

Early applications get read.

13.1% of postings close within 7 days. Measured by our own scanner across the market. Quantiphi postings stay open a median of 49 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 13.1%7 days
  4. 21.1%14 days
  5. 35.7%30 days
  6. 58.7%60 days
This job: first seen 75 days ago

Quantiphi median: 49 days open

The posting

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 Learning Engineer - Data Analytics

Experience : 3-5 Years

Location : Bangalore (Hybrid)

Role & Responsibilities:

  • Experimenting with range of models, evaluating model performance and model selection.
  • Performing data cleaning, feature engineering, selection and evaluation.
  • Implementing the data and model training pipelines on cloud using AWS services such as sagemaker, lambda functions, etc.
  • Documentation for Model architecture and solutions
  • Collaboration with cross-functional teams, including platform engineers, Machine learning engineers, software developers and business stakeholders, to ensure data solutions meet business needs.
  • Adhering to project timelines
  • Communicate with non-technical stakeholders to understand their data requirements and convey the benefits of data solutions, including migration strategies

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.
  • Good 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 Data Analytics - Data Analytics, Advanced SQL and Amazon Redshift, AWS Glue, Amazon DynamoDB, Amazon Managed Streaming for Apache Kafka.
  • Exposure on below AWS Services - Amazon Bedrock (AgentCore), Amazon SageMaker Studio, Amazon Elastic Container Registry, Amazon API Gateway, AWS Elastic Beanstalk, AWS Lambda, Amazon Elastic Container Service, 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)

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

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