AI Engineering Manager (LLMs & Deep Learning) - LATAM or Europe

AI Engineering Manager (LLMs & Deep Learning) - LATAM or Europe

Romania

Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build
- performing teams by matching them with professionals who truly fit their needs.

Role Overview

We are seeking a
- on Machine Learning Engineering Manager to lead
- functional teams building and deploying
- edge LLM and ML systems. In this role, you’ll drive the full lifecycle of AI development — from research and
- scale model training to production deployment — while mentoring top engineers and collaborating closely with research and infrastructure leaders.   

You’ll combine technical depth in deep learning and MLOps with leadership in execution and strategy,
- performance systems that translate research breakthroughs into measurable business impact.

This position is ideal for leaders who are still comfortable coding, optimizing
- scale training pipelines, and navigating the intersection of research, engineering, and product delivery.

Commitments Required: 8 hours per day with an overlap of 4 hours with PST.

Employment type: Contractor assignment (no medical/paid leave)

Duration of contract: 3 months, possible extension

Location: LATAM, Europe

Two rounds of interviews (60 min technical + 30 min technical & cultural discussion)

Roles & Responsibilities

• Lead and mentor a
  - 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
  - scale model training,
  - 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.

Requirements

Required Skills & Qualifications

• 9+ yrs 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+ yrs 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
  - functional collaboration skills.
• Bachelor’s or Master’s in Computer Science, Engineering, or related field (Ph
  D preferred).

Nice to Have 

• Experience training or
  - tuning foundation models.
• Contributions to
  - source ML or LLM frameworks.
• Understanding of Responsible AI, bias mitigation, and model interpretability.

Benefits

• Work in a fully remote environment.
• Opportunity to work on
  - edge AI projects with leading LLM companies.