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ML/AI Engineer
Skills
Node.JsSQLTypescriptAmazon Web ServicesArtificial IntelligenceGenerative AILarge Language Models
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- 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.
Nice to have
- 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.
Day to day
- 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.