ML Tech Lead (wih GenAI)

Provectus; Norte; Sur place; COP 167 400 000 - 279 000 000; Plein temps

Résumé du poste

A leading technology company is seeking an ML Tech Lead in Colombia to provide technical leadership and mentorship for their ML engineering team. The role involves guiding technical decisions, ensuring code quality, and contributing complex components. The ideal candidate should possess deep ML expertise and extensive experience in building production-grade ML systems. This full-time position is perfect for those looking to grow their leadership skills while working on innovative projects in a dynamic environment.

Qualifications

• Deep expertise in machine learning across domains.
• Extensive experience in building production-grade ML systems.
• Ability to design scalable and maintainable ML architectures.
• Strong understanding of ML infrastructure and operations.
• Experience with modern LLM-based applications and RAG.
• Exemplary coding standards and best practices.

Responsabilités

• Provide technical leadership and set direction for ML projects.
• Mentor junior/mid-level engineers and conduct code reviews.
• Contribute to critical components and tackle high-risk technical challenges.
• Write and review architecture decisions; reduce technical debt.
• Contribute to building reusable ML accelerators and frameworks.
• Tackle high-risk technical challenges with hands-on coding.

Connaissances

Deep ML Expertise

Production ML

Architecture

MLOps

LLM Systems

Code Quality

Multiple ML Frameworks

Cloud Platforms

Data Engineering

System Design

Performance Optimization

Clean Code

Testing

Git & Collaboration

CI/CD

Documentation

Outils

TensorFlow

PyTorch

scikit-learn

AWS

Description du poste

As an ML Tech Lead, you'll provide technical leadership and mentorship for our ML engineering team in Colombia. You'll guide technical decisions, ensure code quality, mentor engineers, and help build a culture of technical excellence. While this is not a people‑management role, you'll serve as the technical anchor and go‑to expert for the team.

Core 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

• 1. 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
• 2. 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
• 3. 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

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.

Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function

Engineering and Information Technology

Industries

Transportation, Logistics, Supply Chain and Storage

Referrals increase your chances of interviewing at Provectus by 2x

Get notified about new Technical Lead jobs in Colombia, Huila, Colombia.

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.