AI Engineer

We are seeking an AI Engineer to join our team. The ideal candidate will possess experience in building, training, tuning, deploying and maintaining various types AI models, including machine learning, deep learning, and generative AI, with a particular focus on large language models and their equivalents.

Key Responsibilities:

• Design, develop, and implement AI models across various SLA operational domains
• Preprocess data to ensure the quality and accuracy of data being fed into the model
• Deploy AI models in production environments
• Maintain AI models for SLA operational use cases
• Optimise and fine-tune existing AI systems to enhance performance
• Collaborate with cross-functional teams to understand the data requirements, to refine the algorithm, and to seamlessly integrate AI solutions, to ensure alignment with the business needs.
• Maintain up-to-date knowledge of the latest advancements in AI and machine learning

Requirements:

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field
• Demonstrated experience in implementing AI models, including machine learning, deep learning, and generative AI
• Proficiency in programming languages such as Python, R, or Java; Preferably Python.
• Strong command of machine learning frameworks (e.g., TensorFlow, PyTorch, Keras)
• Experience with cloud platforms (e.g., AWS, Azure) or COTS tools (e.g. Dataiku) for AI deployment a bonus
• Proven ability to work with large language models and their equivalents (e.g., GPT, BERT, T5, LLaMA, Ollama,LangChain)
• Expertise in fine-tuning and optimising various AI models for specific use cases
• Familiarity with model architectures and their integration with other AI systems
• Excellent problem-solving and analytical skills
• Strong communication skills and ability to thrive in a team environment

Preferred Qualifications:

• Prior implementation experience using Government cloud platforms (e.g. GCC, GCC+)
• Experience with natural language processing (NLP) and computer vision would be a plus.
• Experience in developing custom AI models from scratch
• Knowledge of best practices for AI model deployment, scaling, and maintenance
• Familiarity with ethical AI principles and responsible AI development (e.g. SCS AI Ethics and Governance)