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:

• Technical background with a university degree in Computer Science, software engineering or a related field.
• Strong programming skills in Python. Proficiency in other languages such as Java is a plus.
• Proficiency with DevOps/MLOps best practices, including CI/CD, version control (Git), docker and IaC.
• Proficiency with AWS infrastructure, including EC2, S3, SageMaker and Bedrock.
• Experience deploying ML models and LLMs in cloud environments and local environments.
• Familiarity with distributed model training and model optimization.
• Ability to build effective ML pipelines for research and development.
• Experience with ML model lifecycle tools (e.g., MLflow, DVC, Weights & Biases).
• Excellent problem-solving skills, with the ability to troubleshoot performance bottlenecks in ML pipelines.
• Fluent in English, with the ability to communicate complex technical topics effectively.

Why You Will Love It Here:

• Our culture and mission set us apart. We have a dynamic work culture that values respect and kindness and embraces the right to fail (and get right back up again!). 
• Great people make a great company. We value people skills as much as technical skills and strive to keep things friendly while still being passionate leaders in our domains. 
• We have a flexible work policy that includes 3 days in-office and 2 days work-from-home each week for those located near our office locations; some locations such as Dubai, India, Japan and Australia operate fully remotely.
• We have a growth mindset. We love learning and believe continuous education is critical to our success. In an ever-changing industry, new skills are necessary, and we're happy to help our team acquire them.
• As the leader in our field, our products and services are as strong as our internal team members.
• We embrace transparency with regular meetings, cascading messages and updates on the growth and success of our organization.

Benefits of Working With Sonar:

• We encourage usage of our robust time-off allocations with 27 PTO days for our employees based out of the Geneva region, plus additional days based on seniority and circumstances.
• We contribute 60% of the total cost for your pension; 13.5% to 15.5% of your base salary for savings; 2% for risk.
• Generous discretionary Company Growth Bonus, paid annually.  
• Commuting:Sustainable mobility options, including carpooling and the refund of 60% of the annual transportation subscription.
• Global workforce with employees in 20+ countries representing 35+ unique nationalities.
• We have an annual kick-off somewhere in the world where we meet to build relationships and goals for the company.