Role
LLM – Engineering Manager (Python + Machine Learning)
Experience
9+ years overall; 2+ years leading ML/LLM teams
Engagement Type
Contract (2+ months) - Possible to extend for 6 months based on requirement
Start Date
Within 1 week
Availability
Full-time (8 hours/day) with at least 4 hours overlap with PST
Responsibilities
Lead and mentor a cross‑functional team of ML engineers, data scientists, and MLOps professionals.
Oversee the full lifecycle of LLM and ML projects – from data collection to training, evaluation, and deployment.
Collaborate with Research, Product, and Infrastructure teams to define goals, milestones, and success metrics.
Provide technical direction on large‑scale model training, fine‑tuning, and distributed systems design.
Implement best practices in MLOps, model governance, experiment tracking, and CI/CD for ML.
Manage compute resources, budgets, and ensure compliance with data security and responsible AI standards.




Communicate progress, risks, and results to stakeholders and executives effectively.
Required Skills & Qualifications
9+ years of strong background in Machine Learning, NLP, and modern deep learning architectures (Transformers, LLMs).
Hands‑on experience with frameworks such as Py Torch, Tensor Flow, Hugging Face, or Deep Speed.
2+ years of proven experience managing teams delivering ML/LLM models in production environments.
Knowledge of distributed training, GPU/TPU optimization, and cloud platforms (AWS, GCP, Azure).
Familiarity with MLOps tools like MLflow, Kubeflow, or Vertex AI for scalable ML pipelines.
Excellent leadership, communication, and cross‑functional collaboration skills.
Bachelor’s or Master’s in Computer Science, Engineering, or related field (Ph D preferred).

📌 Engineering manager (Ciudad de México)
🏢 Highbrow Technology
📍 Ciudad de México