📋 Description

• Define and own architecture for backend systems (primarily Python) that integrate AI/ML into
• Deploy, optimize, and scale ML models in collaboration with Data Science and Data Engineering.
• Design and maintain cloud infrastructure using Terraform and Helm; support deployments on GCP/AWS.
• Lead containerization and orchestration best practices (Docker, Kubernetes) for development and
• Ensure data integrity and performance across SQL and NoSQL systems (Postgres, MongoDB, etc.).
• Establish and maintain monitoring and observability: Prometheus, Grafana, logging (Loki/ELK) and

🎯 Requirements

• Education: Master’s or PhD in a quantitative field such as Statistics, Mathematics, Computer
• 8+ years engineering experience (or equivalent) building backend systems, demonstrable ownership of
• Strong programming in Python or Java or JavaScript expertise, experience building microservices and
• Hands-on experience with containerization (Docker) and orchestration (Kubernetes).
• Practical experience with Terraform, Helm, and cloud platforms (GCP/AWS).
• AI-Native Engineering: Experience utilizing tools like Cursor, GitHub Copilot, or Claude Code as a

🎁 Benefits

• Opportunity to lead cutting-edge AI projects in a global consulting environment.
• Leadership development programs and training sessions at global centers.
• A dynamic and collaborative team environment with diverse projects.