Machine Learning Engineering Manager (Remote)

Oluboba Jobs reports that a global AI-driven company is seeking a Machine Learning Engineering Manager to lead teams developing and deploying cutting-edge LLM and ML systems.

This role is ideal for senior engineering leaders who are still hands-on, capable of coding, optimizing large-scale training pipelines, and driving innovation across research, infrastructure, and product teams.

Machine Learning Engineering Manager (Remote)

Key Responsibilities

• Lead and mentor ML engineers, data scientists, and MLOps professionals.

• Oversee the full lifecycle of ML and LLM projects — from data collection to deployment.

• Collaborate with research, product, and infrastructure teams on goals and success metrics.

• Direct technical decisions on large-scale model training, fine-tuning, and distributed systems.

• Implement best practices in MLOps, CI/CD, model governance, and experiment tracking.

• Manage compute budgets, resources, and ensure compliance with responsible AI standards.

• Report progress, risks, and performance outcomes to stakeholders.

Required Skills & Qualifications

• 9+ years of experience in Machine Learning, NLP, and deep learning architectures (Transformers, LLMs).

• Proficiency in PyTorch, TensorFlow, Hugging Face, or DeepSpeed.

• Minimum of 2 years managing teams deploying ML/LLM models in production.

• Strong understanding of distributed training, GPU/TPU optimization, and cloud platforms (AWS, GCP, Azure).

• Experience with MLOps tools like MLflow, Kubeflow, or Vertex AI.

• Excellent leadership, technical communication, and collaboration skills.

• Bachelor’s or Master’s in Computer Science or related field (PhD preferred).

Nice to Have

• Hands-on experience fine-tuning foundation models.

• Contributions to open-source ML or LLM frameworks.

• Understanding of Responsible AI, bias mitigation, and interpretability.

Benefits

• 100% remote work flexibility.

• Chance to collaborate with global teams on state-of-the-art AI projects.

• Opportunity to work closely with leading companies in the LLM and AI ecosystem.