DevOps/ML Engineer

About Us

RepRisk is the world's most respected Data as a Service (DaaS) company for reputational risks and responsible business conduct. Our mission is to provide transparency on business conduct risks to drive positive change. Combining advanced AI with deep human expertise, and a proven methodology at the core, RepRisk's solutions bring performance and peace of mind, enabling clients to know more, be sure, and act faster. With our values of intellectual honesty and humility, operational excellence, and openness and respect, our diverse teams of talented experts are pioneering solutions that enable clients to make better informed decisions. Headquartered in Zurich, and with offices in Toronto, New York, London, Berlin, Manila, and Tokyo, we stay close to clients and bring an independent lens to the industry. United by our shared belief in the power of data, our 400 people are proud to be setting the global standard for business conduct data and driving positive and meaningful change through transparency.  

We Offer

• Join a growing, diverse, and experienced team that fosters skill development and offers support.
• Work in an agile development ecosystem using state-of-the-art open-source technologies.
• Flexible working hours and arrangements to accommodate your needs.
• Thrive in an entrepreneurial, international, and dynamic work environment.
• Be part of a shared mission to hold companies accountable and encourage responsible behaviour.
• A company that embraces diversity, because life would be boring if we were all the same

About You

Are you a seasoned DevOps/ML or Platform Engineer with a passion for AI and machine learning? Do you thrive on empowering engineering teams with innovative AI/ML capabilities?

If you answered YES, then this is the perfect role for you

Your Responsibilities

As our new DevOps/ML Engineer (AI Exposure) you will work closely with DevOps and Software engineers to make sure all our systems are running smoothly and quickly respond to issues as they arise. Your strong engineering mindset and problem-solving skills will be essential in maintaining high system performance and stability. This role involves designing and implementing cloud-native and cloud-agnostic solutions that support both new initiatives and ongoing projects across the organization. This is a hybrid role, two days a week in the office is required. Moreover, you will:

• Build and maintain CI/CD pipelines optimized for AI/ML workflows.
• Manage containerization and orchestration using Docker and Kubernetes.
• Implement observability and monitoring for distributed AI agents.
• Ensure security, scalability, and cost-efficiency across AWS and Azure environments.
• Evaluate LLM-based tools to enhance engineering productivity.
• Define and promote engineering-wide AI standards and best practices.
• Collaborate across teams to drive AI adoption throughout the organization.
• Design and build solutions that integrate seamlessly with existing workflows and tooling.

You Offer

• 3+ years of experience in Platform Engineering or DevOps.
• Hands-on experience with AWS and Azure, including tools like Amazon SageMaker and Bedrock.
• Proficiency with container technologies (Docker, Kubernetes).
• Proven experience deploying GenAI or LLM-powered applications (1+ year).
• Strong communication skills and a collaborative mindset in a remote-first environment.
• Passion for solving developer pain points and improving workflows.
• Ability to quickly learn and apply new technologies in a fast-paced setting.
• Familiarity with AI model evaluation metrics and data requirements.

Please note that we will only consider candidates with a valid work permit.