MLOps Cloud Engineer

SonarSource; Bochum; Hybrid; EUR 55.000 - 85.000; Vollzeit

Zusammenfassung

A leading company in the tech sector is seeking a Data Engineer to bridge the gap between AI research and production. This role involves managing cloud environments, deploying ML models, and automating workflows while fostering an inclusive culture that values diversity and continuous learning.

Leistungen

Pension Scheme with contributions from Sonar

60% reimbursed public transport costs

28 PTO days plus additional days based on seniority

Annual discretionary growth bonus

Qualifikationen

• Technical background in Computer Science or related field.
• Experience in deploying ML models in both cloud and local environments.
• Strong programming skills, particularly in Python.

Aufgaben

• Deploy, manage, and monitor ML models in various environments.
• Automate ML workflows with CI/CD pipelines.
• Collaborate with AI researchers to ensure integration of models into production.

Kenntnisse

Python

DevOps best practices

MLOps

AWS

Problem-solving

Ausbildung

University degree in Computer Science

Tools

Git

Docker

MLflow

DVC

Weights & Biases

Jobbeschreibung

• 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 :

• Pension Scheme : 1st Pillar (Unterstützungskasse) : Automatic, financed by Sonar, 3% of gross salary.
• Pension Scheme : 2nd Pillar (bAV) : Voluntary, 15% contribution by Sonar from social security savings.
• Public transport reimbursement of 60% for annual subscription.
• We encourage usage of our robust time-off allocations with 28 PTO days for our employees based out of the Geneva region, plus additional days based on seniority and circumstances.
• Generous discretionary Company Growth Bonus, paid annually.
• 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.