Remote ML/AI Engineer Job in Greater London, UK Dorian

Who you are

• Possess a Bachelor’s or Master’s degree in Computer Science Data Science or a related field.
• Have at least 10 years of professional experience in software development coupled with 3 years in AI including developing and deploying machine learning models.
• Demonstrate experience with generative AI models such as GANs VAEs Transformers and large-scale models.
• Exhibit strong Python coding skills with experience using machine learning libraries such as TensorFlow PyTorch and Scikit-learn.
• Experienced in using AWS for cloud deployment and managing ML systems.
• Skilled in data preprocessing feature engineering and analysis of model performance via statistics and data visualization.
• Able to work independently and manage entire AI project lifecycle from conceptualization to deployment.
• Excellent problem-solving skills and ability to troubleshoot complex issues.
• Effective communicator able to work with team members and understand user needs.

Desirables

• Game development experience
• Experience with TypeScript/JavaScript backend code using Node-based frameworks such as Express or Koa.
• Experience with building and scaling B2C platforms
• Experience developing asynchronous code.

What the job involves

• Design and implement AI-driven features to assist users in creating and improving their content on our platform.
• Design train and deploy machine learning models.
• Continuously evaluate and improve AI models based on feedback and performance metrics.
• Preprocess and manage large datasets to prepare for AI model training and evaluation.
• Integrate AI solutions seamlessly with our platform.
• Maintain and optimize AI infrastructure on AWS ensuring scalability reliability and cost-effectiveness.
• Collaborate with team members to understand user needs and translate them into AI solutions.
• Stay up-to-date with the latest advancements in AI machine learning and generative AI to continuously improve the system.
• Deliver quality code that is self-tested and optimized for performance and scalability.
• Mentor other engineers to foster a culture of continuous learning and improvement.