AI Engineering Manager (LLMs & Deep Learning) - LATAM or Europe
Company:Gramian Consulting Group
Location:Brazil, Argentina, Colombia, Uruguay, Romania, Poland, PST
Languages:English
Seniority level:Manager, 9+ years (ML/NLP/DL), 2+ years (management)
Experience:9+ years (ML/NLP/DL), 2+ years (management)
Skills:
AWSLeadershipPythonArtificial IntelligenceCloud ComputingGCPKubeflowMachine LearningMLFlowPyTorchCross-functional Team LeadershipAzureTensorflowMentoringSoftware Engineering
Requirements:
9+ yrs 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+ 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 cross-functional collaboration skills. Bachelor’s or Master’s in Computer Science, Engineering, or related field (PhD preferred).
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.
