M
Tech Lead
ML6
Hybrid Full-time Senior 4d ago
About the role
About
Stop building AI that never meets production. Build systems that actually make impact. Most AI roles stop at tweaking models or working on proof‑of‑concepts. Yours won’t.
At ML6, you design, build, and deploy AI solutions that are used in production at companies like GS1, Regnology and FUNKE.
What’s in it for you
- Take up a tech lead role on a per‑project basis
- Work end‑to‑end: from data to production
- See your solutions live in real‑world environments
- Combine AI, software engineering, and business impact
- High ownership and autonomy in your work
- Collaborate with smart, driven engineers
The impact you make
- Design and build end‑to‑end AI solutions
- Take systems from idea to production deployment
- Make architecture decisions and ensure scalability
- Lead teams of engineers
- Translate business challenges into technical solutions
- Work with Python, ML frameworks, GenAI, and cloud (AWS/GCP/Azure)
- Build scalable systems using MLOps and CI/CD
- Lend your technical expertise to client conversations to successfully start new opportunities
Time allocation: 70 % client project work + 30 % research, internal (domain) work and more.
Note: ML6 is not an outsourcing firm; our agents work on projects together with a team of colleagues.
What you bring
- 4 + years of working experience as a software, ML or AI engineer
- Proven track record in delivering end‑to‑end solutions (to production)
- Experience with cloud platforms (AWS, GCP, or Azure)
- Experience leading projects or small technical teams
- Strong communication skills (technical and non‑technical) in English and German
- Familiarity with MLOps principles and a passion for building robust, scalable systems
Why joining ML6
- Lead with Impact: Your work will directly deliver value to our clients and contribute to positive change.
- Growth & Learning: Opportunities to work on diverse, challenging projects; yearly growth evaluations; paths to Principal Engineer, Squad Lead, Office of the CTO, or domain specialization.
- Culture of Trust: Inclusive environment built on trust and transparent communication; hybrid working setup with lots of autonomy.
- Rewarding You: Attractive salary package and optimized benefits program reflecting your expertise and impact; specific ranges shared transparently at the beginning of the process.
Note: relocation outside of Europe is not possible for this role today.
Skills
AWSAzureCI/CDCloudDockerGCPGenAIMLMLOpsPython
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