Senior Machine Learning Engineer

Sowelo Consulting sp. z o.o. sp. k.

. Design and build core machine learning systems for a proactive AI platform .

Posted 9/18/2026full-timeRemote • SlovakiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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

Demonstrates expertise in designing and building machine learning systems, with a strong focus on deploying and maintaining production-grade models. Capable of optimizing architectures for performance and reliability while mentoring peers and collaborating across teams.

Highest-signal resume keywords

Machine Learning Systems DevelopmentPython ProgrammingPyTorch and/or JAX ExperienceGPU-Based Training and InferenceProduction Code Quality

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Machine LearningModel TrainingModel EvaluationData CurationModel InferenceArchitectural DesignPerformance Metrics AnalysisCode OptimizationTroubleshootingIterative Feedback Loops

Soft Skills

Self-DirectionInitiativeTechnical CommunicationMentoringCollaboration

Tools & Technologies

PythonPyTorchJAXGPU SystemsProduction Systems

Industry Keywords

AI PlatformProduction EnvironmentsModel AnomaliesSystem BottlenecksLatency Optimization

Tech Stack

Tools & technologies

PythonPyTorch

About the role

Key responsibilities & impact

Design and build core machine learning systems for a proactive AI platform
Own projects end-to-end, including data curation, model training, evaluation, inference, and continuous iteration
Translate research concepts into robust, reliable production systems
Use live production signals and data to troubleshoot model anomalies and system bottlenecks
Deploy systems, analyze real-world performance metrics, refine approaches, and iterate rapidly
Collaborate with research, engineering, and product teams
Mentor fellow engineers and conduct rigorous technical reviews
Optimize model architectures for latency, computational cost, reliability, and safety at scale

Requirements

What you’ll need

Minimum of 5 years of experience in a Machine Learning role
Experience with Python
Experience with PyTorch and/or JAX
Experience with GPU-based training and inference systems
Demonstrated experience building, deploying, and maintaining machine learning systems used in real-world environments
Strong practical understanding of how modern ML models behave and fail in live production
Ability to mitigate production edge cases
Track record of writing clean, robust, production-grade code
Architectural mindset beyond simple scripting
High degree of self-direction and initiative
Ability to independently drive complex technical initiatives from concept to launch
Ability to rapidly absorb new concepts
Ability to communicate technical trade-offs clearly
Ability to continuously improve code and systems through iterative feedback loops

Benefits

Comp & perks

Significant equity
High compensation flexibility
Fully remote work
Strong ownership and visible impact
Small founding team environment
High-caliber engineering team
Greenfield AI product development