MLOps Cloud Engineer

What You Will Do Daily :

• Collaborate with AI researchers and engineers to bridge the gap between research and production.
• Manage research-friendly cloud environments that allow easy deployment and experimentation.
• Deploy, manage, and monitor LLM / ML models in both cloud and on-premise environments, ensuring smooth integration into our research and production pipelines.
• Support engineers in integrating ML models into production, ensuring a smooth handoff from research to product teams.
• Automate ML workflows with CI / CD pipelines for model deployment and continuous integration.
• Design and maintain flexible ML workflows to support rapid experimentation.
• Enable fast iteration by setting up tools for model tracking, logging, and comparison (e.g., MLflow, DVC, Weights & Biases).
• Optimize model inference for speed, efficiency, and scalability while balancing research flexibility.
• Ensure AI models and experiments are reproducible by structuring model storage, versioning, and benchmarking practices.

The Experience You Will Need :

Why You Will Love It Here :

Benefits of Working With Sonar :

We Value Diversity, Equity, and Inclusion : At Sonar, we believe that our diversity is our strength. We are a global company that values and respects different backgrounds, perspectives, and cultures. We are committed to fostering a diverse and inclusive work environment where everyone feels valued and empowered to contribute their best. We are proud to be an equal opportunity employer and welcome all qualified applicants, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. All offers of employment at Sonar are contingent upon the precise results of a comprehensive background check and reference verification conducted before the start date. Applications that are submitted through agencies or third party recruiters will not be considered.