ML-006 Head of AI And Data Science

Missisauga-GTA

About the Role:

We are seeking an experienced and visionary Head of AI to lead our AI strategy and execution in the field of material science. This role involves overseeing the development and deployment of advanced AI technologies and leading a diverse team of data scientists and machine learning engineers. You will play a critical role in steering the company's AI initiatives, enhancing the technology stack, and driving innovation across interdisciplinary teams. As the Head of AI, you will also be responsible for addressing data scarcity challenges, ensuring scalable and effective AI solutions despite limited datasets.

Key Responsibilities:

  • Define and execute the AI strategy, driving innovation and aligning it with company objectives.
  • Lead and mentor a high-performing team of Data Scientists, Machine Learning Engineers, and AI Researchers.
  • Oversee the development and optimization of AI-driven platforms for material formulation discovery.
  • Develop innovative approaches to handle data scarcity, including the use of synthetic data generation, transfer learning, and unsupervised learning methods.
  • Champion the design and implementation of scalable AI architectures and infrastructure.
  • Foster a culture of continuous improvement, ensuring the team stays at the forefront of AI advancements.
  • Collaborate with executive leadership and cross-functional teams to integrate AI solutions across the business.
  • Ensure robust AI model lifecycle management, including data pipeline optimization, model validation, and deployment.
  • Manage cloud-based AI infrastructure (AWS, GCP, Azure), ensuring security, scalability, and cost-efficiency.
  • Drive the implementation of CI/CD processes for AI models and infrastructure.
  • Serve as a thought leader and represent the company in industry events and AI communities.

Qualifications:

  • Bachelor’s, Master’s, or Ph.D. in Computer Science, AI, Machine Learning, or a related field, or equivalent experience.
  • Extensive leadership experience in AI and machine learning, with a proven track record of managing and scaling AI teams and platforms.
  • Expertise in AI/ML frameworks (TensorFlow, PyTorch, scikit-learn) and programming languages (Python, Julia, R, C++).
  • Strong understanding of cloud platforms (AWS, GCP, Azure) and experience in managing AI infrastructure at scale.
  • Proven ability to tackle data scarcity, leveraging methods like synthetic data generation, data augmentation, and transfer learning to overcome limited datasets.
  • Deep knowledge of data science workflows, MLOps, and AI/ML deployment best practices.
  • Ability to collaborate with and influence cross-functional teams, executives, and stakeholders.
  • Exceptional communication and leadership skills to drive AI vision and influence non-technical audiences.
  • Experience in the material science or industrial AI domain is a plus.

Benefits:

  • Competitive executive-level compensation package.
  • Significant leadership and professional development opportunities.
  • Engage with cutting-edge AI technologies tackling real-world scientific and industrial challenges.
  • A collaborative and innovative work environment, with the chance to lead a pioneering AI team.