Senior Machine Learning Engineer (AI)

Location: Berlin Schöneberg, Germany; hybrid with 3 days in the office and 2 days from home

Company

hirify.global operates an AI-powered B2B platform for used-car trading in Europe, connecting software, pricing intelligence, logistics, and financing.

What you will do

• Own machine learning models from handoff through production, including packaging, deployment, monitoring, and readiness decisions.
• Maintain production reliability through drift detection, performance monitoring, alerting, and incident response.
• Own the serving and inference path, including pipeline artifacts, inference entry points, monitoring hooks, and feature-store parity.
• Review model design and evaluation methodology, identifying data leakage, backward-window errors, and weak evaluation before release.
• Extend the shared platform across data extraction, validation, transformation, training, and evaluation without introducing project-specific logic.
• Set engineering standards for a platform scaling across the organisation.

Requirements

• At least 2 years of production machine learning engineering experience with ownership after model handoff.
• Strong Python skills, including typed, tested, production-grade code and code reviews.
• Practical machine learning depth across problem framing, feature engineering, model selection, and evaluation methodology.
• Hands-on experience with a managed ML platform such as SageMaker, Vertex AI, Databricks, or Azure ML, plus feature stores, machine learning CI/CD, AWS, and Terraform.
• English at C1 level, written and spoken; German is not required.

Nice to have

• Experience with Snowflake and dbt.
• Experience mentoring colleagues or reviewing their work.
• Comfort working in situations where the answer is not yet defined.

Culture & Benefits

• Hybrid schedule with 3 office days and 2 remote days, plus 25 Work from Anywhere days per year.
• 28 days of annual leave and twice-yearly career and development conversations.
• Company pension with a 20% employer contribution.
• Fully paid Deutschlandticket and FitX membership or Urban Sports Club subsidy.
• Virtual stock options, modern IT equipment, structured onboarding with a buddy programme, and social events.
• Women’s network, meditation and prayer room, and dog-friendly office.

Hiring process

• Submit a CV; no cover letter is required.