Description

You will build and deploy machine learning models and data pipelines within a big data environment.

This role is on-site.

Responsibilities

• Develop and maintain APIs using Python and FastAPI.
• Build and manage MLOps workflows to support model lifecycles.
• Engineer data processing pipelines using Big Query and Hadoop.
• Implement and scale AI/ML capabilities in cloud environments.

Required Skills

• 5+ years of experience with Python.
• 5+ years of experience with big data tools including Big Query and Hadoop.
• 3 years of experience in the AI/ML space with a focus on MLOps.
• 2+ years of experience developing APIs using Python and FastAPI.
• Strong proficiency in Azure and GCP.
• Bachelor's degree in any field.

Preferred Skills

• 1+ year of experience with LLMs, Generative AI, or Vector Databases.
• Experience developing APIs on GCP, Azure, or API Gateways.
• Experience in model development.

Key Skills

Education

Any Gradute