Description

You will own the development of scalable machine learning systems and data pipelines, collaborating directly with business experts and data scientists.

Responsibilities

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

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.

Key Skills

Education

Any Graduate