Turing is seeking an accomplished Delivery Manager – Data Science to lead large-scale LLM training and Agentic AI programs, driving the successful delivery of mission-critical datasets, fine-tuning workflows, and model alignment initiatives.
Requirements
- 10+ years of experience in data science, AI/ML, or related engineering leadership roles
- Proven success managing large-scale AI delivery programs (100+ members) across multiple workstreams.
- Deep expertise in LLM training methodologies (SFT, RLHF, RLAIF) and Agentic AI systems.
- Strong proficiency in Python and modern ML frameworks such as PyTorch, TensorFlow, Hugging Face, LangChain, and LlamaIndex.
- Advanced understanding of data pipelines, annotation processes, and quality metrics.
- Experience delivering LLM and Agentic AI projects in production or research settings.
- Knowledge of Responsible AI, fairness, and model interpretability practices.
Responsibilities
- Lead large, distributed teams of data scientists, ML engineers, and Python developers delivering high-quality AI datasets and models.
- Scale and operationalize data science workflows for SFT, RLHF, and RLAIF pipelines.
- Define and manage project goals, timelines, and quality benchmarks for multiple concurrent programs.
- Drive team performance, engagement, and innovation, fostering a culture of technical excellence and accountability.
- Oversee end-to-end delivery of complex AI/ML initiatives, ensuring client goals are achieved on schedule and within scope.
- Ensure rigorous standards for data, model, and process quality throughout the lifecycle.
- Leverage analytics to identify model performance gaps, biases, and optimization opportunities.
Other
- Excellent client-facing communication, stakeholder management, and cross-functional collaboration.
- Demonstrated ability to balance technical depth with operational leadership and business impact.
- Advanced degree (Master’s or PhD) in Computer Science, Data Science, or AI-related field.
- Experience working in fast-paced AI research or product organizations.
- 5 days a week work schedule
