Engineering Manager AI
Talent
Our client is looking for an Engineering Manager with AI and a background in Data Science and Machine Learning to lead a multi-disciplinary team of data, machine learning, DevOps, and software engineers delivering high-impact AI and data solutions for a leading retailer.
You'll take a product-led approach, partnering with Product Managers, Architects, and Security to deliver our AI and data roadmap while embedding modern engineering and agile practices that drive measurable business value.
Responsibilities
- Lead the design and delivery of scalable, production-grade AI/ML and data solutions
- Extensive Data Science/Machine Learning and Data Engineering experience
- Translate business objectives into prioritised technical outcomes alongside Product
- Drive modern engineering practices, CI/CD, DevOps, and quality standards
- Collaborate across architecture, security, and platform teams
- Recruit, mentor, and develop a high-performing engineering team
- Foster a culture of experimentation, continuous improvement, and innovation
- Proven experience leading product-led data and/or ML engineering teams
- Strong people leader with a passion for coaching and team development
- Solid background delivering AI solutions into production
- Comfortable working in agile environments focused on continuous value delivery
- Strong product mindset and stakeholder collaboration skills
Tech stack
Azure (AKS, Azure ML), Databricks, Snowflake, Docker, Terraform, CI/CD, Python, PyTorch, LangChain, Agile & DevOps practices.
For more information, contact Melissa Haddad at Sign in to view email
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