This is a remote position.
• As an AI Engineer, you will play a crucial role in developing and implementing cutting-edge AI models and systems,
• Your primary responsibility will be to design, train, and optimise generative AI models using PyTorch framework,
• You will work closely with cross-functional teams to deliver innovative AI solutions that address complex business challenges. This is an exciting opportunity to work on advanced AI technologies and contribute to the next generation of AI-driven applications,
• Design and develop state-of-the-art generative AI models using PyTorch framework,
• Implement and optimise deep learning algorithms for various applications, such as image generation, text generation, and sequence generation,
• Collaborate with data scientists and domain experts to understand business requirements and translate them into technical specifications,
• Preprocess and clean large datasets for training and validation of AI models,
• Train, fine-tune, and evaluate AI models using appropriate datasets and metrics,
• Optimise AI models for efficiency, scalability, and real-time performance,
• Stay up-to-date with the latest advancements in generative AI and PyTorch, and apply them to enhance model performance,
• Work closely with software engineers to integrate AI models into production systems,
• Conduct experiments and perform rigorous testing to ensure the quality and reliability of AI models,
- Document and present the research findings, methodologies, and results to both technical and non-technical stakeholder
Requirements
Requirements
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field,
• Proven experience as an AI Engineer or similar role, with a focus on generative AI and PyTorch,
• Strong understanding of deep learning concepts and architectures,
• Proficiency in programming languages such as Python and experience with PyTorch framework,
• Solid knowledge of generative models, such as LLMs, GANs, VAEs, and autoregressive models,
• Experience in training and fine-tuning generative models on large-scale datasets,
• Familiarity with data preprocessing techniques, including data augmentation and normalisation,
• Strong problem-solving and analytical skills to tackle complex AI challenges,
• Excellent communication skills to collaborate effectively with cross-functional teams,
• Demonstrated ability to stay updated with the latest trends and advancements in AI research,
• (Desirable) PhD in Computer Science or a related field with a focus on AI and machine learning,
• (Desirable) Research experience in generative AI, with publications in top-tier conferences or journals,
• (Desirable) Experience with other deep learning frameworks, such as TensorFlow or Keras,
• (Desirable) Knowledge of cloud platforms, such as AWS or Azure, for scalable AI model deployment,
• (Desirable) Familiarity with computer vision or natural language processing (NLP) tasks and technique
