Requirements and responsibilities
Responsibilities: Technical Leadership (40%)Set technical direction and standards for ML projectsMake architectural decisions for ML systemsReview and approve technical designsIdentify and address technical debtChampion best practices in ML engineeringTroubleshoot complex technical challengesEvaluate and introduce new technologies and toolsMentorship & Team Development (35%)Mentor junior and mid-level ML engineers (2-5 engineers)Conduct technical code reviewsProvide guidance on technical problem-solvingHelp engineers debug complex issuesCreate learning opportunities and growth pathsShare knowledge through workshops and documentationBuild technical competency across the teamHands-On Technical Work (25%)Contribute code to critical or complex componentsBuild proof-of-concepts for new approachesTackle highest-risk technical challengesDevelop reusable ML accelerators and frameworksMaintain technical credibility through active codingRequirements: ML Engineering ExcellenceDeep ML Expertise: Advanced knowledge across multiple ML domainsProduction ML: Extensive experience building production-grade ML systemsArchitecture: Ability to design scalable, maintainable ML architecturesMLOps: Strong understanding of ML infrastructure and operationsLLM Systems: Experience with modern LLM-based applications and RAGCode Quality: Exemplary coding standards and best practicesTechnical BreadthMultiple ML Frameworks: Proficiency across TensorFlow, PyTorch, scikit-learnCloud Platforms: Advanced AWS experience, familiarity with othersData Engineering: Understanding of data pipelines and infrastructureSystem Design: Ability to design complex distributed systemsPerformance Optimization: Experience optimizing ML models and infrastructureSoftware EngineeringClean Code: Writes exemplary, maintainable codeTesting: Champions testing practices (unit, integration, ML-specific)Git & Collaboration: Advanced Git workflows and collaboration patternsCI/CD: Experience building and maintaining ML pipelinesDocumentation: Creates clear, comprehensive technical documentationWhat We Offer:Long-term B2B collaboration;Fully remote setup;A budget for your medical insurance;Paid sick leave, vacation, public holidays;Continuous learning support, including unlimited AWS certification sponsorship.Interview stages:Recruitment Interview;Tech interview;HR Interview;HM Interview.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Optionally, you can add more information later (benefits, pre-screening questions, etc.)