Lead AI Engineer

We are seeking a visionary and technically strong Lead AI Engineer to spearhead the development and deployment of advanced AI solutions in the retail domain. This role demands deep expertise in machine learning, deep learning, and AI systems architecture, along with leadership capabilities to guide a team of engineers and data scientists in building scalable, production-grade AI applications that transform retail operations and customer experiences.

Responsibilities:

• Lead the design, development, and deployment of AI/ML models for retail use cases such as: Demand forecasting and inventory optimisation, Dynamic routing for supply chain, Dynamic pricing and promotion strategies, Customer segmentation and behaviour prediction, Computer vision for store analytics and shelf monitoring, Personalized product recommendations.
• Architect end-to-end AI solutions, from data ingestion to model deployment and monitoring.
• Mentor and manage a team of AI engineers and collaborate closely with data scientists, product managers, and business stakeholders.
• Drive MLOps best practices, including CI/CD pipelines, model versioning, and automated retraining.
• Evaluate and integrate emerging AI technologies and frameworks to enhance solution capabilities.
• Ensure compliance with data privacy regulations and ethical AI standards.
• Present technical strategies and project outcomes to senior leadership and non-technical stakeholders.

Requirements:

• 6+ years of experience in AI/ML engineering, with at least 2 years in a leadership role.
• Proven track record of delivering AI solutions in the retail sector.
• Expertise in Python and ML/DL frameworks (TensorFlow, PyTorch).
• Expertise in SQL.
• Strong understanding of cloud platforms (GCP, AWS, Azure) and containerization (Docker, Kubernetes), GCP preferred.
• Experience with MLOps tools (MLflow, Kubeflow, Airflow).
• Solid grasp of software engineering principles, data structures, and system design.
• Experience with big data technologies (Spark).
• Familiarity with retail systems (POS, ERP, CRM, e-commerce platforms).
• Strong business acumen and ability to translate retail challenges into AI solutions.
• Excellent communication, leadership, and stakeholder management skills.

Skills

AI, ML, PyTorch, Python, TensorFlow, deep learning, machine learning