Senior AI Engineer (m/f/d)

ML6

München

Vor Ort

EUR 80.000 - 100.000

Vollzeit

14 Tage+
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Benefits dieser Stelle

Stock options
Competitive compensation
Flexible work

Zusammenfassung

ML6 is seeking a Tech Lead to design and deliver end-to-end AI systems across client projects. You will work with Python, ML frameworks, and cloud platforms to bring ideas to production while guiding a team of engineers.

This role emphasizes ownership, autonomy, and collaboration with a client-focused mindset. Relocation outside Europe is not required today and Europe-based candidates are preferred.

Qualifikationen

  • 4+ years of working experience as a software, ML or AI engineer.
  • Proven track record in delivering end-to-end solutions to production.
  • Experience within the GenAI space.
  • Experience with cloud platforms (AWS, GCP, or Azure).
  • Experience leading projects or small technical teams.
  • Strong communication skills in English and German.
  • Familiarity with MLOps principles and scalable systems.

Aufgaben

  • Design and build end-to-end AI solutions.
  • Take systems from idea to production deployment.
  • Lead teams of engineers.
  • Translate business challenges into technical solutions.
  • Lend expertise to client conversations to start new opportunities.

Kenntnisse

Software/ML Engineer
Communication skills
English & German
Team leadership

Tools

AWS
GCP
Azure

Jobbeschreibung

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
  • You are more than an engineer. You are a Tech Lead, builder, and consultant in one.
  • 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 successful start new opportunities

Time allocation: 70% client project work + 30% research, internal (domain) work and more. Note that ML6 is not an outsourcing firm, our agents work on projects together with a team of colleagues where autonomy is highly valued.

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 within the GenAI space (currently hiring for this domain)
  • 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
  • Currently based in Europe, since relocation outside of Europe is not possible for this role today
WHY JOINING ML6

Less talking, more doing. Join us and push the boundaries of AI.

  • Driving seat: Whether you want to become a Principal Engineer, a Squad Lead, or join the Office of the CTO, we shape the path together and provide support to accelerate your career.
  • Take ownership from day one: We want you to act like a shareholder- so we make you one. We provide stock options, ensuring you truly share in our collective success.
  • Value driven innovation: Our work is guided by a commitment to Do Good and Excellence in Delivery. You’ll work on challenging, diverse projects where your passion for technology creates a real-world impact.
  • Transparent rewarding: We offer an attractive, optimized package (typically €80k - €100k gross/year for senior roles + benefits and bonuses on top). Your salary depends on your expertise and impact. This expertise will be translated to a level and scope group on our salary grid and will be defined during the hiring process. Check out our Reward Philosophy to read more.
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