Senior AI Engineer

Description

• Develop and maintain relationships with a broad range of clients, colleagues, and partners across a variety of contexts and formats
• Harness your expertise in AI engineering, delivery, and governance to solve complex problems and deliver transformative change for clients and citizens
• Maintain public trust in AI and data protection ensuring fairness, ethics, accountability, and transparency
• Use AI and data to deliver material impact and drive disruptive transformation across public and private sectors

Requirements

• Broad knowledge of data science and machine learning: NLP, computer vision, recommendation systems, reinforcement learning and time series forecasting
• Track record on data science competitions such as Kaggle is highly desirable
• Bachelor’s or master’s degree in any quantitative field
• Exposure to software engineering and CI/CD principles: containerization, Infrastructure/configuration as code, model, and data versioning
• Strong ability to communicate with, develop and maintain relationships with a broad range of clients, colleagues, and partners across a variety of contexts and formats.
• Completed at least one hands-on AI development and deployment end-to-end
• Minimum 7 years of relevant working experience in fields related to artificial intelligence, machine learning, data science, software engineering
• Ability to rapidly acquire new AI and data skills
• Exposure to a broad range of AI, data, and development tools: Jupyter, TensorFlow, PyTorch, DataRobot, H2O, Hugging Face, AWS Sagemaker, Google Vertex AI, Azure ML, MLFlow, Ignazio, Dataiku, IBM-360, MS Fair toolkit, Google PAIR, Docker, Kubernetes, Terraform, Ansible and Datadog
• Exposure to one of more of cloud services: AWS, Azure or GCP

Benefits

Training + Development

Interview process

Visa Sponsorship

Security clearance