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 PyTorch, TensorFlow, Hugging Face, or DeepSpeed.
- 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 (PhD preferred).

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📌 Engineering Manager (México)
🏢 Highbrow Technology
📍 México