Delivery Manager Data Science US
About The Position
We are seeking a Delivery Manager (ML) with a strong background in Machine Learning, MLOps, and LLM engineering to lead and scale the execution of complex AI projects across multiple global teams. This individual will oversee the end-to-end delivery of high-impact ML and LLM initiatives - from large-scale data preparation and model training to deployment and performance optimization. The ideal candidate is a strategic operator and technical leader - someone who can bridge research, engineering, and business delivery, ensuring excellence in execution, model quality, and stakeholder alignment. You will lead projects with 100+ team members, collaborate with AI researchers, ML engineers, and product leads, and drive innovation in tooling, automation, and process optimization.
Requirements
- 10+ years of experience in engineering, program management, or AI delivery, including 2+ years in ML/LLM project leadership.
- Proven ability to manage large-scale delivery programs (100+ team members) across data, research, and engineering streams.
- Strong technical grounding in machine learning, NLP, and modern deep learning frameworks (PyTorch, TensorFlow, Hugging Face, etc.).
- Working knowledge of MLOps pipelines (MLflow, Kubeflow, or Vertex AI) and cloud platforms (AWS, GCP, or Azure).
- Experience with data curation, training pipelines, and large-scale annotation processes.
- Excellent communication, stakeholder management, and risk mitigation capabilities.
- Demonstrated success driving ML systems from research to production under tight timelines.
Nice To Haves
- Advanced degree in Computer Science, Machine Learning, or related field (PhD preferred).
- Hands-on experience training or fine-tuning foundation or LLM models.
- Experience managing compute-heavy ML operations, including GPU scheduling and distributed model training.
- Understanding of Responsible AI, bias mitigation, and model interpretability.
- Background in gamification, performance motivation, or workforce engagement for large-scale technical teams.
Responsibilities
- Team Leadership and Execution
- Project Management and Coordination
- Technical Oversight and ML Quality
- Cross-Functional and Research Collaboration
Benefits
- Amazing work culture (Super collaborative & supportive work environment; 5 days a week)
- Awesome colleagues (Surround yourself with top talent from Meta, Google, LinkedIn etc. as well as people with deep startup experience)
- Competitive compensation
- Flexible working hours
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Industry
Administrative and Support Services
Education Level
Ph.D. or professional degree
Number of Employees
1,001-5,000 employees
