Senior Machine Learning Engineer (Platform)

• Lead the end-to-end development of ML pipelines, from prototyping and experimentation through to production deployment, enabling AI-powered features at scale. - Design, build, and maintain the core infrastructure that powers our ML services (e.g., Databricks, AWS, Ray, Kubernetes). - Develop robust observability and experimentation frameworks to ensure reliable model deployment, monitoring, and continuous iteration. - Partner closely with Data Science teams, treating the ML Platform as a product—removing infrastructure bottlenecks and empowering them to deliver high-quality models efficiently and confidently. ### What We’re Looking For

• 3+ years of experience in backend and/or infrastructure engineering. - Strong experience with infrastructure-as-code practices (e.g., Pulumi, Terraform, CloudFormation). - Experience working with service-oriented architectures and integrating ML services into high-scale backend systems. ### What we offer

• Competitive salaries & meaningful equity

• Private Medical Insurance

• Life/Risk Assurance

• Meal Allowance: 8.55€ per day

• Community Days (days for us to give back to the community)

• Paid Annual Leave (22 days)

• Global Lifestyle Reimbursement Account

• Paid Sabbatical

• Complete laptop workstation

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