This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Machine Learning Engineer - AI Enabler Team in Germany.
In this role, you will work at the forefront of AI and cloud infrastructure, tackling complex challenges related to large-scale machine learning systems and intelligent automation. You will design and optimize advanced ML pipelines, enabling applications to dynamically select and deploy the most efficient models while balancing cost and performance. As part of a highly technical and innovation-driven team, you’ll contribute to building next-generation AI infrastructure in a fast-paced, R&D-focused environment. This position offers significant ownership, allowing you to shape architecture decisions and influence product direction. You will collaborate with cross-functional experts while exploring cutting-edge technologies in distributed systems, LLM optimization, and cloud-native environments. It’s an ideal opportunity for engineers passionate about solving real-world AI scalability challenges.
Accountabilities:
- Design, build, and optimize machine learning pipelines for training and inference in large-scale environments
- Evaluate and improve large language model (LLM) performance, focusing on cost-efficiency and output quality
- Develop and implement advanced inference optimization techniques, including quantization, reduced precision, and performance tuning
- Architect scalable solutions for distributed ML training and inference across cloud-native infrastructures
- Collaborate with cross-functional teams to define and deliver innovative AI-driven features
- Contribute to system design decisions and continuously improve infrastructure automation and performance
- Stay up to date with the latest advancements in AI, ML frameworks, and cloud technologies
Requirements:
- 5+ years of hands-on experience in machine learning, data science, or related fields with a strong project portfolio
- Advanced programming skills in Python and solid software engineering fundamentals
- Expertise in ML inference optimization techniques and tools (e.g., vLLM, TensorRT, or similar)
- Strong understanding of distributed systems, training pipelines, and checkpointing strategies
- Experience with cloud platforms and containerized environments (e.g., Kubernetes)
- Familiarity with real-time data processing, APIs, and scalable system design
- Ability to thrive in fast-paced, ambiguous environments with competing priorities
- Strong communication skills and fluency in English
- Must be based in Europe (GMT 0 to GMT +3)
Benefits:
- Competitive salary package (€6,500 – €9,000 gross depending on experience)
- Remote-first work environment with flexible working conditions
- Equity options and long-term incentive opportunities
- Private health insurance coverage
- Dedicated learning budget for courses, certifications, and conferences
- 10% of work time allocated to personal projects or skill development
- Annual hackathons and innovation-driven initiatives
- Team-building activities and global company events
- Equipment budget to support your productivity
- Additional paid time off to support work-life balance
How Jobgether works:
We use an
AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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