AI/ML Engineer – Intelligent Memory Systems

About the role

Join a visionary team building intelligent systems that curate and understand family memories with emotional intelligence. You will lead the creation of AI features that help families organize, rediscover, and share their most precious moments.

Key responsibilities

• Design, develop, and deploy machine‑learning models for image and video analysis.
• Build natural‑language processing pipelines for memory categorisation.
• Create recommendation engines that surface relevant memories for users.
• Implement computer‑vision models for face recognition and scene detection.
• Ensure AI solutions respect privacy and handle sensitive family data securely.
• Optimise models for performance, scalability, and edge deployment.
• Collaborate with product teams to translate business needs into AI solutions.
• Stay up‑to‑date with the latest AI/ML research and best practices.

Required profile

• 4+ years of hands‑on machine‑learning engineering experience.
• Strong proficiency in Python and deep‑learning frameworks (TensorFlow or PyTorch).
• Experience with computer‑vision and natural‑language processing projects.
• Solid understanding of MLOps, model deployment, and cloud ML platforms (AWS SageMaker, Google AI Platform).
• Knowledge of ethical AI principles, bias mitigation, and privacy‑preserving techniques.
• Excellent analytical and problem‑solving skills.

Required skills

• Python
• TensorFlow
• PyTorch
• scikit‑learn
• AWS SageMaker
• Google AI Platform
• Computer vision
• Natural language processing
• MLOps
• Model deployment
• Ethical AI
• Bias mitigation
• Statistics
• Linear algebra
• Recommendation systems
• Collaborative filtering
• Edge computing
• Model optimisation
• Privacy‑preserving ML