We are seeking a

Senior Director of Machine Learning

to lead and scale our ML, ML Ops, and Generative AI teams. This is a senior leadership role at the intersection of cutting-edge AI innovation and high-impact production systems. You will be responsible for shaping our machine learning strategy, delivering robust ML platforms, and driving forward GenAI initiatives that transform user experience and business value. You will thrive in a

fast-paced tech environment , bringing proven experience in shipping ML systems at scale, and demonstrating strong

people leadership , including managing managers and building high-performing, cross-disciplinary teams. Key Responsibilities

Define and execute the overall ML vision and roadmap across ML, ML Ops, and Generative AI. Partner with product, engineering, and business stakeholders to align ML capabilities with company goals. Inspire, mentor, and grow a team of ML leaders, engineers, scientists, and operations specialists. Oversee design, development, and deployment of production ML models used at scale. Drive operational excellence in ML Ops (CI/CD for ML, monitoring, reliability, scaling). Establish best practices for experimentation, reproducibility, and model governance. You have led 1 or more high-impact Generative AI initiatives from conception through to measurable business outcomes. Evaluate emerging technologies and strategically integrate GenAI into products and internal workflows. Execution & Delivery

Ensure high-quality,



timely delivery of ML projects with explicit ROI. Build scalable systems capable of handling production workloads in large tech environments. Champion a culture of innovation balanced with reliability and accountability. Qualifications

12+ years of experience in Machine Learning, Data Science, or Applied AI, with at least 5+ years in senior leadership roles. Proven success in managing

other senior leaders/managers

within technical organizations. Strong track record of shipping

ML systems in production at scale

within large technology companies or high-growth environments. Deep understanding of

ML Ops practices

(automation, deployment pipelines, monitoring, scalability). Demonstrated success leading

1–2 Generative AI projects

with measurable outcomes. Strong technical foundation in ML/AI with the ability to set strategy while engaging on technical detail. Excellent communication, collaboration, and stakeholder management skills. Comfortable operating in

fast-paced, ambiguous environments

with a bias toward action and impact. Why Join Us?

Opportunity to shape the

next generation of AI powered products and platforms . Lead world-class teams across ML, ML Ops, and GenAI. Work in a culture that values

innovation, execution, and growth . Seniority level

Director Employment type

Full-time Job function

Information Technology Industries

IT Services and IT Consulting and Financial Services

#J-18808-Ljbffr

📌 Dubai - Head of Machine Learning & AI (Winnipeg)
🏢 Talent Seed
📍 Winnipeg