Machine learning engineer Jobs in Schweinfurt

We are TecAlliance — founded by more than 30 automotive aftermarket companies as a neutral Data‑as‑a‑Service market connector, serving as the neutral data terrain that interconnects them. With over 1,000 employees worldwide and customers in 140 countries, we enable the market — we never compete with it.

You will join a Data & Machine Learning team of 10+ people that delivers AI solutions end‑to‑end, from business use‑case definition to working, production‑ready prototypes using agentic coding. For example, the team recently collaborated within an AWS & AI Workshop in Frankfurt to prototype multiple TecAlliance use cases within days, pairing engineers with AI agents to build fully working solutions on secure enterprise data. Ship fast, learn faster: we move quickly from idea to working AI prototypes, validate early in real contexts, and scale what works and drop what doesn´t. We have millions of datapoints. But without a business case, they’re just noise. And that´s the job for the AI Inhouse Consultant (m/f/d).

Your role:

• Turn real TecAlliance business problems into working AI solutions, owning the journey from first use‑case discussion to hands‑on prototyping, validation, and production handover together with internal stakeholders.

• Deliver visible, measurable outcomes with AI — whether that’s reducing manual work, improving data or product quality, or enabling new capabilities — and take responsibility for progress against agreed goals.

• Work hands‑on with the DSML team to prototype and ship AI use cases fast, for example in collaborative settings where engineers pair with AI agents to build end‑to‑end solutions (UI included) within days, not months.

• Build, integrate, and operate ML and LLM‑based components using Python and the modern ML stack, connecting models to TecAlliance data pipelines and products and iterating based on real feedback from Product, Engineering, and Operations.

• Make your work reusable and transparent: document solutions, evaluations, and lessons learned; keep code reproducible and production‑ready; and contribute actively to the team’s shared standards and playbooks.

• Stay curious and forward‑looking by experimenting with new AI, GenAI, and agentic approaches, sharing insights with the team, and helping scale proven practices so more colleagues can benefit in their daily work.

Your profile:

• Identify underlying business problems and bottlenecks, with the judgment to determine whether AI is truly the right solution or whether another approach creates greater value.

• Challenge scope and assumptions by asking the right questions upfront and ensuring efforts are focused on solving the most impactful problems.

• Bring deep hands-on expertise in Python.

• Communicate effectively with business stakeholders, translating technical concepts into clear, actionable insights while proactively highlighting risks and opportunities.

• Act as a role model for AI adoption by sharing best practices and helping colleagues integrate AI effectively into their daily work.

• Possess a solid understanding of cloud and infrastructure fundamentals, including AWS, Azure, or comparable platforms.

• Demonstrate strong analytical maturity and sound judgment, knowing when advanced AI or machine learning techniques are required and when a simpler solution delivers the best outcome.

• Be professionally proficient in English (B2+); German is a strong advantage.

  The ideal candidate (m/f/d) will bring

• Hands-on experience with Python and the modern machine learning ecosystem to leverage Foundation Models, including scikit-learn, pandas, Docker, and CI/CD practices.

• Practical experience deploying cloud-based solutions on AWS or Azure using services such as Lambda, S3, API Gateway, or comparable technologies.

• Context engineering, prompt design, and LLM output QA — knowing how to make models behave reliably in production.

Even if you don´t tick all the boxes, we strongly recommend applying.

Please only apply with your CV (in English only) via the system. Applications outside of our applicant tracking system cannot be considered due to GDPR.

* Please note

• that TecAlliance can only consider candidates for employment who are legally authorized to work in a country listed in the job posting, where we have an established legal entity and payroll system. Unfortunately, we are currently unable to hire candidates who require relocation, visa support, or are located outside of that country. Of course you can apply, if you hold a work permit and are willing to / or already moved to the country. Thank you for your understanding.

• that it is not possible to work outside of the country you are applying for. Meaning that, if you apply e.g. for Germany, you must work from within Germany. It is not possible to work from abroad. You can work at any location within the borders of the listed country, unless the job posting specifies a certain City.

• 📕 Contract title: your contract title is “AI Inhouse Consultant” (m/f/d).

Please only apply with your CV (in English only) via the system. Applications outside of our applicant tracking system cannot be considered due to GDPR.