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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 .
Core Competencies
Role fitCore 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 translating complex research concepts into reliable systems while optimizing for performance and safety.
Highest-signal resume keywords
Machine Learning Systems DevelopmentPython ProgrammingPyTorch and/or JAX ExperienceGPU-Based Training and InferenceProduction-Grade Code Writing
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine LearningModel TrainingModel EvaluationData CurationModel OptimizationTroubleshootingArchitectural DesignCode ReviewIterative FeedbackPerformance Metrics Analysis
Soft Skills
Self-DirectionInitiativeCommunication of Technical Trade-OffsMentoringRapid Concept Absorption
Industry Keywords
AI PlatformProduction SystemsModel AnomaliesSystem BottlenecksReal-World EnvironmentsModel Edge CasesTechnical InitiativesUser ValueClean CodeRobust Systems
Tech Stack
Tools & technologiesPythonPyTorch
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, from data curation and model training through 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
- Partner with research, engineering, and product teams to translate technical milestones into user value
- Mentor fellow engineers and conduct rigorous code and 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 model 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
- Small founding team and greenfield product ownership
- Strong ownership and visible impact
- Mentorship and collaboration with high-caliber engineers