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 • LatviaSeniorWebsite

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 mentoring engineers and driving complex technical initiatives while optimizing model architectures for performance and reliability.

Highest-signal resume keywords

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningModel TrainingModel EvaluationData CurationModel InferenceProduction Systems DeploymentPerformance Metrics AnalysisModel Architecture OptimizationTechnical ReviewIterative Feedback Loops

Soft Skills

Self-DirectionInitiativeCommunication of Technical Trade-OffsMentoringProblem-Solving

Industry Keywords

AI PlatformReal-World EnvironmentsModel BehaviorFailure ModesProduction Edge Cases

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 connect technical milestones with 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
Experience with PyTorch and/or JAX
Experience with 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 modern ML model behavior and failure modes 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
Proven 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 and greenfield AI product opportunity
High-caliber engineering team
Strong reward culture