ML Ops Engineer
Job Summary
Job Description
Sonar is seeking an ML Ops Engineer to support AI research and development, focusing on experimenting, deploying, and scaling ML models, especially LLMs. The role involves enabling cutting-edge research to transition smoothly into production-ready AI features, working at the intersection of AI research and engineering. The engineer will pave the way for AI innovation by developing efficient, scalable, and reliable methods to deploy and manage machine learning models, contributing to the next generation of AI-driven developer tools and optimizing the end-to-end ML lifecycle.
Must have:
- Collaborate with AI researchers and engineers
- Manage research-friendly cloud environments
- Deploy, manage, and monitor LLM/ML models
- Automate ML workflows with CI/CD
- Design and maintain flexible ML workflows
- Enable fast iteration with model tracking tools
- Optimize model inference
- Ensure AI models are reproducible
- Strong Python programming skills
- Proficiency with DevOps/MLOps best practices
- Proficiency with AWS infrastructure
- Experience deploying ML models and LLMs
- Ability to build effective ML pipelines
- Experience with ML model lifecycle tools
- Excellent problem-solving skills
- Fluent in English
Good to have:
- Proficiency in Java
- Familiarity with distributed model training
- Familiarity with model optimization
Perks:
- Dynamic culture valuing respect and kindness
- Embraces the right to fail
- Focus on people skills alongside technical skills
- Flexible work policy (3 days in-office, 2 days remote for some locations)
- Growth mindset with continuous education support
- Competitive products and services
- Transparency with regular meetings and updates
- Robust time-off allocations (27 PTO days)
- Pension contributions
- Savings contributions
- Risk contributions
- Generous discretionary Company Growth Bonus
- Sustainable mobility options for commuting
- Global workforce
- Annual kick-off events
10 skills required
Job Details
Who is Sonar?
Sonar helps prevent code quality and code security issues from reaching production, amplifies developers' productivity in concert with AI assistants, and improves the developer experience with streamlined workflows. Sonar analyzes all code, regardless of who writes it — your internal team, genAI, or third parties — resulting in more secure, reliable, and maintainable applications. Rooted in the open source community, Sonar’s solutions support over 30 programming languages, frameworks, and infrastructure technologies. Today, Sonar is used by +7M developers and 400K organizations worldwide, including the DoD, Microsoft, NASA, MasterCard, Siemens, and T-Mobile.
We believe in developing great products that are supported by great internal teams and a strong culture. We are highly committed to and obsessed with the company, users, each other, and our open source community. We have high standards and hold each other accountable for acting with positivity, dedication, thoughtfulness, empathy, and passion daily.
We are deliberate with our decisions with high clarity of intention. At the same time, we feel extreme urgency and move forward quickly.
And lastly, we are highly effective and operationally efficient. We operate collectively as One Team to accomplish our goals.
At Sonar, CODE is more than just an acronym – it's a mindset that defines daily operations.
Why You Should Apply:
At Sonar, we’re a group of brilliant, motivated, and driven professionals working hard to help supercharge developers to build better, faster. Sonar helps to continuously improve code quality and code security while reducing developer toil. This means that developers can focus on doing more of what they love and less of what they don’t. Our solutions don’t just solve symptoms of problems – we help fix issues at the source – for all code, whether it's developer-written, AI-generated, or from third parties.
We have a dynamic culture with employees worldwide and hub offices in the USA, Switzerland, the UK, Singapore, and Germany. Team members should be able to come to work every day, work on a product they are proud of, love what they do, and feel energized by their peers. With our roots deep in the open source community, we’re all about the mission: supercharge developers to build better, faster.
The Impact You Will Have:
We are looking for an ML Ops Engineer to support AI research and development, focusing on experimenting, deploying and scaling ML models (especially LLMs). As part of our CodeNext, you will enable cutting-edge research to transition smoothly into production-ready AI features. You will work at the intersection of AI research and engineering, ensuring that ML models can be efficiently deployed, tested, and iterated.
You will pave the way for AI innovation by developing efficient, scalable, and reliable ways to deploy and manage machine learning models. Your work will enable our AI researchers and software engineers to iterate faster, explore new ideas, and bring AI-powered features into Sonar products. By optimizing the end-to-end ML lifecycle, you will directly contribute to the next generation of AI-driven developer tools.
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.
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.
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