Temus - Senior AI Engineer
Requirements
• Minimum 5 years of relevant working experience in fields related to artificial intelligence, machine learning, data science, software engineering • Broad knowledge of data science and machine learning: NLP, computer vision, recommendation systems, reinforcement learning and time series forecasting • Completed at least one hands-on AI development and deployment end-to-end • Exposure to software engineering and CI/CD principles: containerization, Infrastructure/configuration as code, model, and data versioning • Practical hands-on experience with a broad range of tools to assist in the AI development lifecycle: LLMs, Jupyter, PyTorch, Tensorflow, Hugging Face Transformers, AWS Bedrock, AWS Sagemaker, Google Vertex AI, Azure ML, MLFlow, Dataiku, MS Fair, Google PAIR, Docker, Kubernetes, Terraform, Ansible, Datadog etc. • Exposure to one of more of cloud services: AWS, Azure or GCP • Ability to rapidly acquire new AI and data skills • 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. • Track record on data science competitions such as Kaggle is highly desirable • Temus is an equal opportunities employer. We welcome applications from all. We do not discriminate by race, religion, belief, ethnicity, origin, disability, age, partnership status, sexual orientation, or gender identity. • We see the diversity of our team as a strategic advantage, and we work actively to maintain it. • By applying for this role, you have read and acknowledge the data privacy statement via this link - temus.com/job-applicant-data-protection/
Responsibilities
• Harness your expertise in AI engineering, delivery, and governance to solve complex problems and deliver transformative change for clients and citizens • Make an outstanding contribution to a world-class AI and data team • Develop and maintain relationships with a broad range of clients, colleagues, and partners across a variety of contexts and formats • Invest continuously in building and extending your knowledge and skills
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