RepRisk AG
Tech / AI / Software
SeniorMachineLearningEngineer
Neural analysis suggests this role is
optimal for mid candidates.
“Senior Machine Learning Engineer at RepRisk AG. Skills: Machine Learning, NLP, Large Language Models (LLMs), Python, SQL, System architecture design, MLOps. Developing and scaling state-of-the-art Machine Learning applications. Contributing to the design, implementation and operation of Machine Learning products”
What You'll Achieve.
Deliver measurable business value; Ensure long-term maintainability and performance; Setting the global standard for business conduct data; Driving positive and meaningful change through transparency
Industry & Context.
Analytical thinking; Structured problem-solving
Valid work permit
What They're Looking For.
Must Have
Master's degree in Computer Science, Engineering, Statistics, or a related STEM field, 5+ years of hands-on experience as an ML Engineer in a production environment, Expert-level Python skills, Proficiency in SQL, Proven experience developing and deploying NLP models, information retrieval systems, and search engines, Hands-on experience integrating AI and LLMs into ML pipelines, Foundation in software engineering best practices, with a focus on clean, maintainable and scalable code, Proven track record of designing and delivering scalable, production-grade ML systems and architectures, Experience working with cloud platforms, CI/CD workflows, and containerized environments, Experience leading technical initiatives, with a high degree of ownership and accountability, Mentoring skills and ability to support and guide more junior team members, Proactive mindset with the ability to take ownership, drive solutions forward, and navigate ambiguity, Analytical thinking, structured problem-solving, and highly efficient execution, Excellent communication skills and fluency in English, Valid work permit
Nice to Have
Experience in low-code languages like C++ or Java, Experience working with AWS, particularly SageMaker, Prior experience fine-tuning or training LLMs, Practical experience building and managing data pipelines
What You'll Do.
Developing and scaling state-of-the-art Machine Learning applications
Contributing to the design
implementation and operation of Machine Learning products
Designing and implementing advanced ML features
Taking end-to-end ownership from ideation to production
and optimizing multifaceted search engines
Designing scalable system architectures
and maintaining microservices
Applying and guiding the adoption of the latest advancements in ML
including Large Language Models (LLMs)
and optimizing models for performance
Mentoring and supporting other ML engineers
Collaborating closely with ML engineers
backend engineers and product owners
Contributing to a well-balanced tech stack
Ensuring high-quality
Actively contributing in Agile/Scrum processes
How You'll Work.
Team & Collaboration
Collaborative team; Collaborate closely with ML engineers, backend engineers and product owners; Technical lead in cross-functional initiatives; Mentoring and supporting other ML engineers
Communication Scope
Excellent communication skills; Fluency in English
Process & Methodology
Agile/Scrum processes, End-to-end ownership, Driving solutions forward
Full Job Description
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 for an opportunity to work on meaningful, cutting-edge projects in machine learning? Did you wonder what it would be like to work at a company where your contribution has a real, measurable impact – and you are rewar
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