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ML Tech Lead (GenAI)

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Provectus

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Location:
Colombia , Medellín ▼

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Category:
IT - Software Development

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Contract Type:
B2B

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Salary:

Not provided
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Job Description:

Provectus helps companies adopt ML/AI to transform the ways they operate, compete, and drive value. The focus of the company is on building ML Infrastructure to drive end-to-end AI transformations, assisting businesses in adopting the right AI use cases, and scaling their AI initiatives organization-wide in such industries as Healthcare & Life Sciences, Retail & CPG, Media & Entertainment, Manufacturing, and Internet businesses. We are seeking a highly skilled GenAI Tech Lead with a strong background in Large Language Models (LLMs) and AWS Cloud services. The ideal candidate will oversee the development and deployment of cutting-edge AI solutions while managing a team of engineers. This leadership role demands hands-on technical expertise, strategic planning, and team management capabilities to deliver innovative products at scale.

Job Responsibility:

  • 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:

  • 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
  • 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
  • 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

Additional Information:

Job Posted:
March 13, 2026

Work Type:
Remote work
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