ML Tech Lead (GenAI, AWS)

Provectus

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Medellín, Antioquia remote Until 8/21/2026 First posted May 28, 2026 Last posted May 28, 2026
Job description

Responsibilities:

  • Technical Leadership (40%)
    • - Set technical direction and standards for ML projects
    - Make architectural decisions for ML systems
    - Review and approve technical designs
    - Identify and address technical debt
    - Champion best practices in ML engineering
    - Troubleshoot complex technical challenges
    - Evaluate and introduce new technologies and tools
     
  • Mentorship & Team Development (35%)
    • - Mentor junior and mid-level ML engineers (2-5 engineers)
    - Conduct technical code reviews
    - Provide guidance on technical problem-solving
    - Help engineers debug complex issues
    - Create learning opportunities and growth paths
    - Share knowledge through workshops and documentation
    - Build technical competency across the team
     
  • Hands-On Technical Work (25%)
    • - Contribute code to critical or complex components
    - Build proof-of-concepts for new approaches
    - Tackle highest-risk technical challenges
    - Develop reusable ML accelerators and frameworks
    - Maintain technical credibility through active coding

Requirements:

  • ML Engineering Excellence
    • - Deep ML Expertise: Advanced knowledge across multiple ML domains
    - Production ML: Extensive experience building production-grade ML systems
    - Architecture: Ability to design scalable, maintainable ML architectures
    - MLOps: Strong understanding of ML infrastructure and operations
    - LLM Systems: Experience with modern LLM-based applications and RAG
    - Code Quality: Exemplary coding standards and best practices
  • Technical Breadth
    • - Multiple ML Frameworks: Proficiency across TensorFlow, PyTorch, scikit-learn
    - Cloud Platforms: Advanced AWS experience, familiarity with others
    - Data Engineering: Understanding of data pipelines and infrastructure
    - System Design: Ability to design complex distributed systems
    - Performance Optimization: Experience optimizing ML models and infrastructure
  • Software Engineering
    • - Clean Code: Writes exemplary, maintainable code
    - Testing: Champions testing practices (unit, integration, ML-specific)
    - Git & Collaboration: Advanced Git workflows and collaboration patterns
    - CI/CD: Experience building and maintaining ML pipelines
    - Documentation: Creates clear, comprehensive technical documentation

What 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.
About this role

Summary

Lead ML projects, mentor engineers, contribute code, and develop scalable ML systems.

Job title

ML Tech Lead (GenAI, AWS)

Experience level

advanced

Industry

software

Location requirements

fully remote, based in Medellín, Antioquia

Salary

Not specified

Management role

Yes

Skills & keywords

Required skills

ml expertiseproduction mlml architecturesmlopsllm systemscode qualitytensorflowpytorchscikit-learnawsdata pipelinesdistributed systemsperformance optimizationclean codetestinggitci/cddocumentation

Preferred skills

None specified

Specializations

machine learningaWSLLMml engineeringdeep learning
Locations

Structured locations inferred from the posting.

Medellín, Medellin, Antioquia, Colombia

Remote City
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