CDNA - ML Engineer - Data Science Enablement

Amgen Inc

2 - 5 years

6 - 10 Lacs

hyderabad

Posted:5 days ago| Platform:

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Skills Required

python data engineering sql devops ml hive continuous integration natural language processing ci/cd machine learning data bricks amazon ec2 deep learning git lambda expressions data science spark hadoop aws big data ml pipelines

Work Mode

Work from Office

Job Type

Full Time

Job Description

What you will do

Build, test, and maintain reusable components for ML pipelines and data science use cases in collaboration with senior engineers and data scientists.
Develop model tracking, versioning, and deployment workflows using MLflow and Databricks .
Support data scientists across teams with infrastructure needs, connector usage, and dataset preparation.
Help prototype and deploy internal tools (e.g., Streamlit apps) to visualize model results or enable user interactions.
Follow engineering best practices around version control, documentation, and testing in shared repositories.
Collaborate with enterprise engineering and data platform teams to ensure compliance with cloud architecture, data privacy, and governance standards.

Basic Qualifications

Bachelors or Masters in Computer Science, Data Engineering, or related technical field.
3-5 years of experience in ML engineering, data engineering, or DevOps supporting ML pipelines.
Proficiency in Python and SQL, with working knowledge of Databricks , MLflow , and AWS (S3, EC2, Lambda) .
Experience supporting model deployment, monitoring, and packaging workflows.
Ability to document work clearly and collaborate effectively with cross-functional teams.

Preferred Qualifications

Familiarity with vector stores, embedding pipelines, or RAG-style use cases.
Experience developing or supporting Streamlit or Dash-based apps for data products.
Working knowledge of Git-based workflows, containerization, and CI/CD pipelines.

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