Senior Machine Learning Platform 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

We offer a diverse, multicultural, and mission‑driven workplace where your impact truly matters. You’ll join a collaborative team that values openness, respect, and work–life balance.

What you can expect:

• Flexible working hours and a hybrid model (with home office days).
• Up to 4 weeks per year working abroad, subject to policy and approvals.
• Paid training and volunteering days, plus charity donation matching.
• Health & fitness subsidy to support your well‑being.
• Frequent team and social events that bring our global community together.
• A welcoming office environment with complimentary coffee, refreshments, fresh fruit, and healthy snacks.
• A company that embraces diversity and values different perspectives.

About You

Are you looking to apply your strong data and/or platform engineering skills to real-world problems, and help keep companies around the globe transparent and accountable for their business conduct? Do you want to be part of a growing team of ML experts in shaping a state-of-the-art Natural Language Processing pipeline including LLM models? Are you someone who prefers working for an agile, growing firm where you can make a real contribution and be involved in a variety of tasks, but without the uncertainty of a start-up?

If your answers are YES – then this is the perfect role for you!

Your Responsibilities

As our ML Platform Engineer, you will work daily with the Machine Learning team based in Zürich, Switzerland, to build, maintain, and expand the full machine learning and data pipeline within RepRisk. You will be:

• Support the development of feature pipelines, automated data creation, ETL pipelines, and manage the underlying infrastructure and applications
• Helping to design, test, deploy, monitor, as well as maintain production-scale ML models and model endpoints, primarily in natural language processing.
• Design, implement and monitor the CI/CD pipelines and cloud infrastructure for cutting-edge ML applications, with efficiency, performance and cost optimization in mind.
• Manage the lifecycle, access and deployment of LLM models for production applications and ad-hoc testing by developers

We are looking for candidates with a strong background in data and platform engineering. If you only have experience with data or platform engineering, we would still be happy to consider your application.

You Bring

• Experience designing, building, and deploying cloud-based solution architectures and distributed systems, primarily on AWS
• Experience setting up and maintaining data and ML pipelines
• Experience with implementing CI/CD pipelines using best practices.
• Experience with Data Warehousing technologies
• Experience with LLM management and agentic AI deployment patterns
• System software and management systems experience in Linux environment (Network Management, Systems Management, Datacenter Automation)
• Experience with PostgreSQL database architectures and queries; experience with NoSQL would be a plus
• Strong Python skills: working knowledge of Java or Bash would be a plus
• Knowledge of Git, Docker, Kubernetes, Kafka, and experience with Amazon Sagemaker, Databricks, Airflow, ML Flow, Elastic Search, Kibana, Grafana, Terraform (or similar) would be a plus
• Working experience in debugging to diagnose computational bottlenecks, and in troubleshooting issues and software testing
• Analytical and structured thinking, organizational skills, solution-oriented, and efficiency
• Strong communication skills with proficiency in English, every other language is a plus

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