Sr. Director, AI

Syner-G

Completely RemoteFull TimeInformation Technology
Posted Today

Job description

Responsibilities

  • Lead the strategic planning, development, and execution of the company’s AI roadmap and long-term innovation strategy
  • Identify, evaluate, and prioritize AI and machine learning opportunities to improve operations and business value
  • Partner with Data Engineering and Technology teams to build and deploy scalable AI models and generative AI capabilities
  • Oversee the AI development lifecycle including model design, testing, deployment, monitoring, and retraining
  • Develop and manage responsible AI frameworks addressing transparency, risk, ethics, and compliance
  • Build, develop, and mentor a high-performing AI organization across data science and machine learning disciplines
  • Communicate complex technical concepts and model insights to executive leadership
  • Manage AI program budgets, resources, and vendor contracts

Requirements

  • Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical field
  • 12 to 15+ years of experience in AI, machine learning, data science, or advanced analytics
  • Proven experience building and deploying machine learning models and generative AI systems in production
  • Deep understanding of LLMs, NLP, deep learning, predictive modeling, and reinforcement learning
  • Experience implementing MLOps pipelines and scalable AI systems in Azure, AWS, or Google Cloud
  • Experience leading organization-wide AI or data transformation initiatives
  • Must be legally authorized to work in the United States without employer sponsorship

About the Company

Syner-G is a strategic biopharma product development and delivery partner that accelerates breakthrough science and the delivery of life-enhancing therapies to patients.

Skills & tools

AIMachine LearningMLOps

What the team is looking for

Use this list as a quick fit check before you apply.

  1. 01Bachelor's degree in technical field
  2. 0212-15+ years in AI/ML/Data Science
  3. 03Experience with Generative AI and LLMs
  4. 04Experience with MLOps and Cloud (AWS/Azure/GCP)
  5. 05Experience leading AI transformations
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