Senior Machine Learning Engineer

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

. Design and build core machine learning systems for a proactive, forward-looking AI platform .

Posted 9/18/2026full-timeRemote • CroatiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and building machine learning systems, with a strong focus on deploying and maintaining production-grade models. Capable of translating research concepts into reliable systems while optimizing for performance and safety at scale.

Highest-signal resume keywords

Machine Learning Systems DevelopmentPython ProgrammingPyTorch/JAX FrameworksGPU-Based Training and InferenceModel Optimization

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningModel TrainingModel EvaluationData CurationProduction Code WritingSystem DeploymentPerformance Metrics AnalysisAnomaly TroubleshootingArchitectural MindsetIterative Feedback Loops

Soft Skills

Self-DirectionInitiativeTechnical CommunicationMentoringCollaboration

Industry Keywords

Real-World EnvironmentsProduction SystemsTechnical MilestonesModel ArchitecturesEdge Case Mitigation

Tech Stack

Tools & technologies

PythonPyTorch

About the role

Key responsibilities & impact

Design and build core machine learning systems for a proactive, forward-looking 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 to convert technical milestones into user value
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, PyTorch/JAX, and GPU-based training and inference systems
Demonstrated experience building, deploying, and maintaining machine learning systems actively 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 with an architectural mindset
High degree of self-direction and initiative
Proven ability to independently drive complex technical initiatives from concept to launch
Ability to absorb new concepts rapidly
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
Very high technical bar