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BJAK

Senior Machine Learning Engineer

BJAK

Senior Machine Learning Engineer developing core AI systems for a proactive product. Owning end-to-end workflows from data preparation to production with a focus on reliability.

Posted 7/19/2026full-timeRemote • 🇩🇪 GermanySeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in building and deploying machine learning systems, with a strong focus on Python programming, PyTorch or JAX frameworks, and production-quality code. Capable of mentoring peers and collaborating effectively across teams to drive AI product development.

Highest-signal resume keywords
Machine Learning SystemsPython ProficiencyPyTorch / JAX ExperienceProduction-Quality CodeGPU-Based Training

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Machine LearningData PreparationModel EvaluationModel InferenceDebuggingProduction SystemsResearch ImplementationEnd-to-End OwnershipModern ML ModelsProduction Constraints
Soft Skills
Clear CommunicationFast LearnerMentoring
Tools & Technologies
PyTorchJAXGPU Systems
Industry Keywords
AI ProductModel TrainingModel IterationCollaborationEngineering Teams

Tech Stack

Tools & technologies
PythonPyTorch

About the role

Key responsibilities & impact
  • Build core ML systems for a proactive AI product
  • Own work end-to-end: data preparation, training, evaluation, inference, and iteration
  • Turn research ideas into production systems
  • Debug model failures using production signals
  • Collaborate with research, product, and engineering teams
  • Mentor other ML engineers
  • Work under production constraints

Requirements

What you’ll need
  • 5+ years of experience in machine learning systems
  • Proficiency in Python
  • Experience with PyTorch / JAX
  • Familiarity with GPU-based training and inference systems
  • Strong understanding of modern ML models in production
  • Ability to write production-quality code
  • Fast learner with clear communication skills

Benefits

Comp & perks
  • Health insurance
  • Flexible working arrangements
  • Professional development opportunities