Associate MLOps Engineer

Role Overview

Support the deployment, scaling, optimization, and monitoring of AI/ML models in production environments. Work closely with data scientists and developers to ensure models run efficiently, reliably, and with fast inference performance.

What You Will Do

Develop, maintain, and deploy ML/AI models into production environments, build and serve model inference APIs, optimize models for better inference performance, package and containerize models, set up CI/CD pipelines, and monitor model performance.

Why It Might Be a Fit

Opportunity to work on innovative AI products, be part of a passionate and fast-moving team, and a culture where learning, growth, and experimenting with new ideas are encouraged.

Requirements

• Proficiency in Python
• Familiarity with building REST APIs (FastAPI, Flask)
• Experience deploying ML models and serving them reliably
• Understanding of model optimization techniques such as quantization for faster inference
• Knowledge of Docker and container orchestration (e.g., Kubernetes)
• Familiarity with CI/CD tools and automation workflows
• Ability to monitor and troubleshoot production systems

Benefits

• Impact: Opportunity to work on innovative AI products
• Team: Be part of a passionate, fast-moving team
• Growth: A culture where learning, growth, and experimenting with new ideas are deeply encouraged