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.
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.
Stay curious and forward‑looking by experimenting with new AI, GenAI, and agentic approaches, helping colleagues integrate AI effectively into their daily work.
Your profile:
Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, Mathematics, Statistics or a related technical field.
3–5 years of experience delivering AI/ML projects end-to-end, from use-case scoping through prototype to production handover, working in agile delivery teams.
A solid understanding of cloud and infrastructure fundamentals, including AWS, Azure, or comparable platforms.
+3 years experience in Python.
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.
Skills Required
- Deep hands-on expertise in Python.
- Ability to identify business problems and judge when AI is the appropriate solution.
- Build, integrate, and operate ML and LLM-based components connected to data pipelines and products.
- Solid understanding of cloud and infrastructure fundamentals (AWS, Azure or comparable).
- Practical experience deploying cloud-based solutions on AWS or Azure (e.g., Lambda, S3, API Gateway) or comparable technologies.
- Context engineering, prompt design, and LLM output QA for reliable production behavior.
- Communicate effectively with business stakeholders; translate technical concepts into actionable insights.
- Professional proficiency in English (B2+).
- German language skills.
- Hands-on experience with modern ML ecosystem and tools (scikit-learn, pandas, Docker, CI/CD, Foundation Models).
What We Do
TecAlliance provides data, standards, and digital solutions for the independent automotive aftermarket. Its infrastructure connects parts manufacturers, distributors, workshops, and platforms, supporting data management, parts catalogues and e-commerce, analytics, repair and maintenance information, and ordering and returns. Products including TecDoc, TecCom, and TecRMI help industry participants identify parts, exchange information, transact efficiently, and operate across a globally connected ecosystem.
