Description

You will design and deploy machine learning models and data pipelines within cloud environments.

This role is on-site.

Responsibilities

• Train and optimize machine learning models using AWS, Google Cloud, or similar cloud-based solutions.
• Build and maintain scalable data pipelines and inference engines.
• Deploy ML models using microservices architectures.
• Implement model scoring, feedback loops, and A/B testing protocols.

Required Skills

• 5+ years of applied machine learning experience.
• MSc or PhD in Statistics, Machine Learning, Computer Science, or equivalent field.
• Hands-on experience with AWS, Google Cloud, or other cloud providers.
• Practical knowledge of microservices and model deployment strategies.
• Understanding of feature stores and data lineage.
• Knowledge of A/B testing and model scoring/feedback mechanisms.
• Familiarity with concurrent programming, including threads and asynchronous I/O.

Preferred Skills

• Experience with AWS SageMaker.

Key Skills

Education

ANY GRADUATE