Description

You will own the development of scalable machine learning systems and data pipelines.

This role is on-site.

Responsibilities

• Design and implement frameworks to streamline the machine learning lifecycle and automate data processing.
• Convert research-based ML models into production-ready software using fault-tolerant microservices.
• Develop API endpoints and modular, reusable software components for distributed computing systems.
• Ensure coding standards, documentation, and test coverage through rigorous unit testing and refactoring.

Required Skills

• 7+ years of programming experience in Python with expertise in Object-Oriented and Functional Programming.
• Proficiency with Python data engineering packages: Pandas, Numpy, Pyarrow, Pytest, Scikit-Learn, and Boto3.
• Strong background in SQL relational databases and object storage (AWS S3).
• Experience with MLOps principles and platforms including Apache Airflow, Kubernetes, Dask, Ray, and MLFlow.
• Practical knowledge of CI/CD, version control, and software design principles.
• Proven ability to test, package, and deploy machine learning models in production environments.

Preferred Skills

• Direct collaboration with business experts and data scientists.
• Experience with distributed computing systems.

Key Skills

Education

Any Graduate