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:

1. 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

2. 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

3. 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
Qualifications:

Proven experience with LLMs and NLP frameworks (e.g., Hugging Face, OpenAI, or Anthropic models);

Strong expertise in AWS Cloud Services;

Strong experience in ML/AI, including at least 2 years in a leadership role;

Hands-on experience with Python, TensorFlow/PyTorch, and model optimization;

Familiarity with MLOps tools and best practices;

Excellent problem-solving and decision-making abilities;

Strong communication skills and the ability to lead cross-functional teams;

Passion for mentoring and developing engineers.

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