- 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/