Role overview
You will work closely with data, product, and engineering teams to develop scalable AI systems and integrate models into production environments.
What you'll work on
- Design, develop, and deploy machine learning and AI models for production use
- Build and maintain scalable data pipelines and model-serving infrastructure
- Train, evaluate, and optimise models for performance, accuracy, and efficiency
- Work with large datasets to extract insights and improve model outcomes
- Collaborate with product and engineering teams to translate business needs into AI solutions
- Monitor, test, and iterate on models in live environments
- Ensure best practices around model performance, reliability, and security
What we're looking for
- Experience with large language models (LLMs) or generative AI
- Knowledge of MLOps tools and workflows
- Experience working with cloud platforms (AWS, GCP, Azure)
- Background in applied research or experimentation
Tags & focus areas
Used for matching and alerts on DevFound Contract Ai Ai Engineer Machine Learning Pytorch Tensorflow