
Lead Machine Learning Engineer
Janea Systems
full-time
Posted on:
Location Type: Remote
Location: Germany
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Job Level
Tech Stack
About the role
- Lead the design, development, and deployment of scalable machine learning and AI systems for enterprise clients.
- Work at the intersection of machine learning, distributed systems, and production software engineering.
- Help transform cutting-edge ML research into robust, production-grade solutions.
- Guide ML architecture decisions and mentor engineers.
- Collaborate with cross-functional teams to deliver high-impact AI solutions across multiple industries.
Requirements
- 8+ years of experience in software engineering, machine learning engineering, or applied AI.
- 3+ years of experience in technical leadership or mentoring engineering teams.
- Strong experience developing and deploying machine learning models in production environments.
- Hands-on experience with ML frameworks such as PyTorch, TensorFlow, or similar.
- Experience designing scalable ML systems and data pipelines.
- Strong programming skills in Python and experience with backend or distributed systems.
- Experience with cloud platforms (AWS, Azure, or GCP).
- Experience with containerization and deployment technologies (Docker, Kubernetes).
- Strong understanding of MLOps practices and model lifecycle management.
- Excellent problem-solving skills and ability to work independently in remote environments.
- Strong written and spoken English communication skills.
- Degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
Benefits
- Competitive compensation with benefits, paid vacation, and sick leave.
- The opportunity to work with a globally diverse team of top engineering talent on the industry’s toughest engineering challenges.
- Ultra-flexible working conditions – we provide a generous office equipment allowance so you can work from home, we can also provide you with a desk at an office/coworking facility near you, or use both. No business travel necessary.
- An enjoyable, start-up work environment, with excellent opportunities for professional growth and development.
- Flexible working hours – as a remote-first company, our focus has always been on getting the job done well, not when or where it gets done.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningAI systemssoftware engineeringML frameworksPyTorchTensorFlowPythonMLOpsdata pipelinescloud platforms
Soft Skills
technical leadershipmentoringproblem-solvingindependent workcommunication