AI/ML Engineering Manager

SUMMARY:
AI/ML Engineering Manager to lead a team in developing and deploying AI/ML solutions

POSITION INFO:

We are seeking an experienced AI/ML Engineering Manager to lead a team of engineers and data scientists in developing, deploying, and scaling AI and machine learning solutions. The successful candidate will play a pivotal role in shaping our AI/ML strategy, ensuring solutions are aligned to business objectives, and building a high-performance, diverse, and inclusive team.

Key Responsibilities

• Lead, mentor, and grow a team of AI/ML engineers and data scientists.

• Drive the design, development, deployment, and maintenance of AI/ML models and systems in production environments.

• Collaborate with business stakeholders to identify opportunities for AI-driven innovation and measurable value creation.

• Establish and implement best practices for ML model development, MLOps, and data engineering pipelines.

• Oversee technical architecture, data infrastructure, and cloud-based solutions to support scalable AI/ML delivery.

• Ensure governance, compliance, security, and ethical use of AI across projects.

• Foster a culture of continuous learning, experimentation, and knowledge sharing within the team.

• Work closely with senior leadership to define and deliver on the AI/ML roadmap.

Qualifications & Experience

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field (PhD advantageous).

• 8+ years’ experience in AI/ML engineering, data science, or related roles, with at least 3+ years in a leadership/management capacity.

• Proven track record of managing teams delivering production-grade AI/ML solutions at scale.

• Strong experience with cloud platforms (AWS, Azure, or GCP), MLOps, and data engineering practices.

• Proficiency in Python, SQL, and ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.).

• Solid understanding of modern software engineering practices (CI/CD, DevOps, APIs, microservices).

• Experience working in retail, e-commerce, or consumer-focused industries is advantageous.

Key Competencies

• Strategic thinker with ability to align AI/ML solutions to business goals.

• Strong leadership and people management skills.

• Excellent communication and stakeholder engagement.

• Problem-solving mindset with ability to balance innovation and pragmatism.

• Commitment to diversity, equity, and inclusion in team-building and delivery.