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AI/ML Delivery Leader

Salary undisclosed

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Job Description:

Primary Responsibilities:

  1. Strategic Leadership: Developing and executing strategies that align with broader business objectives, setting clear goals for the team focusing on machine learning solutions.
  2. Team Management: Building and leading a strong team to develop, deploy, and manage state-of-the-art ML models in production, including classic ML, DNNs, and Large Language Models/GenAI.
  3. Talent Scouting and Training: Seeking out the best talents in machine learning and data science and overseeing their training.
  4. Maintaining Best Practices: Staying up to date with emerging AI trends to ensure the organization always utilizes the best ML practices.
  5. Collaboration: Working collaboratively with teams across the organization and influencing decision-making at senior levels.
  6. Ethical AI Practices: Ensuring AI/ML solutions are developed and deployed ethically and responsibly, in compliance with applicable laws, regulations, contracts, enterprise policies, and Code of Conduct.
  7. AI Impacts: Working with stakeholders to align on AI agenda across all lines of business4.

Required Qualifications:

  • Master s degree in computer science, engineering, mathematics, statistics, or a related discipline
  • Minimum of 12 years of experience in Software Engineering, Data Science, or Analytics with at least 8 years of experience in AI/ML engineering or related fields
  • Hands-on experience in various AI/ML techniques, such as deep learning, natural language processing, recommender systems, reinforcement learning, large language models (LLM), etc.
  • Experience with AI/ML frameworks and tools, such as MLFlow, TensorFlow, PyTorch, Keras, Scikit-learn, etc.
  • Experience with cloud platforms and services, such as AWS, Azure, Google Cloud Platform, etc.
  • Experience with DevOps and CI/CD tools and practices, such as Git, Jenkins, Docker, Kubernetes, etc.
  • Experience in working with cross-functional and distributed teams in a global and diverse environment
  • Experience in mentoring, coaching, and developing AI/ML talent
  • Experience in establishing and enforcing AI/ML best practices, standards, and ethics
  • Demonstrated experience in leading and managing AI/ML teams and projects, from ideation to delivery and evaluation
  • Proficiency in Python, R, or other programming languages for data analysis and AI/ML development
  • Proven excellent communication, presentation, and interpersonal skills, with the ability to explain complex AI/ML concepts and results to technical and non-technical audiences
  • Proven solid analytical, problem-solving, and decision-making skills, with the ability to balance innovation and pragmatism
  • Demonstrated passion for learning and staying updated with the latest AI/ML trends and research

Preferred Qualifications:

  • PhD in computer science, engineering, mathematics, statistics, or a related discipline
  • Understanding of the financial domain and experience deploying AI/ML solutions for real-world problems and use cases.
  • A portfolio of AI/ML publications, patents, or awards
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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