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. 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.