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Senior Director, Machine Learning and Artificial Intelligence

Boca Raton, FL, US • Posted 1 day ago • Updated 4 hours ago

Full Time

On-site

Fitment

Dice Job Match Score™

⭐ Evaluating experience...

Job Details

Skills

Team Leadership
Mentorship
Ideation
Collaboration
Product Engineering
Innovation
Computer Vision
Privacy
Regulatory Compliance
Roadmaps
Computer Science
Mathematics
Management
Research
Deep Learning
Natural Language Processing
Generative Artificial Intelligence (AI)
Large Language Models (LLMs)
Python
TensorFlow
PyTorch
Durable Skills
Leadership
Project Management
Recruiting
Budget
Vendor Development
Machine Learning (ML)
Profit And Loss
Presentations
Artificial Intelligence
Machine Learning Operations (ML Ops)
IaaS
Amazon Web Services
Google Cloud Platform
Google Cloud
Microsoft Azure
Communication
Writing
Workday

Team Leadership
Mentorship
Ideation
Collaboration
Product Engineering
Innovation
Computer Vision
Privacy
Regulatory Compliance
Roadmaps
Computer Science
Mathematics
Management
Research
Deep Learning
Natural Language Processing
Generative Artificial Intelligence (AI)
Large Language Models (LLMs)
Python
TensorFlow
PyTorch
Durable Skills
Leadership
Project Management
Recruiting
Budget
Vendor Development
Machine Learning (ML)
Profit And Loss
Presentations
Artificial Intelligence
Machine Learning Operations (ML Ops)
IaaS
Amazon Web Services
Google Cloud Platform
Google Cloud
Microsoft Azure
Communication
Writing
Workday

Summary

Job Description

Summary:

The Senior Director of Machine Learning and Artificial Intelligence will be a strategic leader responsible for driving the development and execution of our machine learning and broader artificial intelligence initiatives. This individual will lead a team of machine learning engineers, AI engineers, and researchers to build and deploy cutting-edge ML models and AI solutions that create business value and enhance our products and services.

The ideal candidate will have a strong technical background in machine learning and artificial intelligence, extensive leadership experience, and a proven track record of delivering impactful enterprise-grade AI solutions. This role requires working closely with business partners while understanding and working within the constraints of the business to maintain a competitive technological edge.

Duties and Responsibilities:

Team Leadership: Lead and mentor a team of machine learning and AI engineers, fostering a culture of innovation, continuous learning, and excellence.
Strategic Roadmap: Define and execute the comprehensive ML/AI strategy and roadmap, aligning it with the company's overall business objectives and long-term vision.
End-to-End Deployment: Oversee the end-to-end development and deployment of machine learning and artificial intelligence models, from ideation and experimentation to production and monitoring.
Cross-Functional Collaboration: Collaborate with product, engineering, data platform, and other cross-functional teams to identify new opportunities for leveraging traditional ML and advanced AI.
AI Innovation & Adoption: Stay up-to-date with the latest advancements in machine learning and AI (including Generative AI, Large Language Models, and computer vision), and drive the adoption of new technologies and best practices.
AI Governance & Ethics: Establish and champion frameworks for responsible AI, ethics, data privacy, and compliance across all model deployments.
Stakeholder Communication: Communicate the complex value and business impact of machine learning and AI initiatives to senior leadership, C-suite executives, and other stakeholders.
Roadmap Influence: Influence product and operational roadmaps with actionable data insights and active AI deployments.
Data Strategy: Build a strategic learning roadmap based on data observations, strategic imperatives, and developed hypotheses, while managing robust data and feature pipelines.
Education: Master's degree or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, Mathematics, or a related technical field.
Domain Experience: 10+ years of experience in machine learning and AI, with a proven track record of building, scaling, and deploying production-level models.
Leadership Experience: 5+ years of experience leading and managing high-performing machine learning or AI engineering and research teams.
Technical Expertise: Deep expertise in a variety of machine learning and AI techniques, including deep learning, natural language processing (NLP), reinforcement learning, and Generative AI/Large Language Models (LLMs).
Programming & Frameworks: Strong programming skills in Python and deep experience with ML/AI frameworks such as TensorFlow, PyTorch, or Hugging Face.
Core Skills: Excellent leadership, communication, and project management skills.
Organizational Scaling: Demonstrated success in building and scaling ML/AI organizations from the ground up, including hiring, budgeting, and tool/vendor selection.
Executive Presence: Proven ability to link ML and AI initiatives to P&L outcomes, with experience presenting comprehensive AI strategies to C-suite executives or Board members.
Infrastructure Knowledge: High-level architectural understanding of MLOps, LLMOps, cloud infrastructure (AWS/Google Cloud Platform/Azure), and the full model development lifecycle (MDLC).

Minimum Qualifications:

Communication Skills:

Writing, Talking/Hearing on the phone (Continually=67-100% of workday)

Environment Requirements:

Remote/Home office (Continually=67-100% of the workday)

Travel:

Occasionally, less than 25%

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.

Dice Id: 10507796
Position Id: 2a097c74408e852d91496ae7f68206bf
Posted 1 day ago

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