The Senior Artificial Intelligence Engineer is needed to design, implement, deliver, and maintain AI and Machine Learning (ML) products and platforms to support corporate business objectives.
Requirements
- Designs, implements, delivers, and maintains AI and Machine Learning (ML) products and platform.
- Analyzes AI/ML use-cases, integrating various open source AI/ML libraries for model training, operationalizing models, supporting and monitoring models for retraining.
- Architects, develops, delivers and support machine learning solutions.
- Ensures the Machine Learning code, models and pipelines are deployed successfully into production, and troubleshooting issues that arise.
- Automates model training, testing and deployment via machine learning continuous delivery pipelines.
- Establishes meaningful criteria for evaluating algorithm performance and suitability.
- Implements working, scalable, production-ready Machine Learning and AI models and code.
Responsibilities
- Designs, implements, delivers, and maintains AI and Machine Learning (ML) products and platform.
- Analyzes AI/ML use-cases, integrating various open source AI/ML libraries for model training, operationalizing models, supporting and monitoring models for retraining.
- Architects, develops, delivers and support machine learning solutions.
- Ensures the Machine Learning code, models and pipelines are deployed successfully into production, and troubleshooting issues that arise.
- Automates model training, testing and deployment via machine learning continuous delivery pipelines.
- Implements working, scalable, production-ready Machine Learning and AI models and code.
- Optimizes processes for maximum speed, performance and accuracy.
Other
- Deliver AI and ML products together with a multi-disciplinary team of data scientists, software development engineers, and domain subject matter experts in accordance with business acceptance criteria.
- Test deliverables against a user story’s acceptance criteria.
- Maintains technical skills and expertise through continuing education and training.
- Work in alignment with agile mindset and values, working off user stories within an agile scrum team.
- Guides more junior AI engineers.
