Machine Learning Engineer

📋 Description

• Build end-to-end AI/ML platforms and architectures
• Design cloud foundations and IaC with Terraform
• Write production-grade Python code and ML services
• Build CI/CD pipelines for apps, data, and ML workloads
• Own ML lifecycle: validation, training, deployment, monitoring
• Explore LLM/RAG and agentic AI work via Vertex AI

🎯 Requirements

• Hands-on data science/ML from exploration to production
• Degree in CS/Engineering/Math/Data Science or equivalent
• Strong Python, APIs, automation, Git workflows
• Experience with Scikit-learn, TensorFlow, PyTorch
• MLOps: Docker, Kubernetes; versioning and monitoring
• Terraform and cloud IaC; cloud platforms (GCP preferred)

🎁 Benefits

• Hybrid work and flexible hours
• Career development programs and global opportunities
• Learning opportunities and internal training
• Health and wellbeing programmes
• Community and diverse, inclusive culture