Platform AI Engineer

Job Description

DARKHORSEONE LIMITED is seeking an exceptional Platform AI Engineer to join our innovative team. You will be responsible for developing and optimising our AI-powered platform that streamlines human resources management and business operations for SMEs.

As a strategic technical role, you will work on building scalable AI infrastructure, deploying machine learning models, and enhancing our platform's computational efficiency.

Responsibilities

• Design and implement cloud-based AI infrastructure on AWS, Azure, or GCP
• Develop and maintain large-scale distributed computing systems using Kubernetes, Docker, Spark, or Ray
• Build and optimise machine learning platforms with MLOps practices and tools like TensorFlow Serving or Triton Inference Server
• Create efficient data pipelines using Apache Kafka, Airflow, and SQL/NoSQL databases
• Collaborate with AI research and product teams to deploy and optimise machine learning models
• Ensure high availability, scalability, and performance of AI systems
• Research and implement cutting-edge technologies to improve platform capabilities

Preferred Qualifications

• Experience deploying and optimising Large Language Models (LLMs) and Transformer architectures
• Knowledge of Retrieval-Augmented Generation (RAG) systems or knowledge graphs
• Experience with Edge AI or TinyML implementations
• 1-3 years of professional experience in AI platform development, MLOps, or AI engineering
• Contributions to AI research or open-source projects

Requirements

• Master's degree or higher in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Software Engineering, or related STEM disciplines
• Graduation from one of the UK's G5 universities (Oxford, Cambridge, Imperial College London, UCL, or LSE)
• Strong skills in cloud computing and infrastructure (AWS, Azure, GCP)
• Experience with large-scale distributed computing (Kubernetes, Docker, Spark, Ray)
• Proficiency in machine learning platform development (MLOps, TensorFlow Serving, Triton Inference Server)
• Data engineering capabilities (Apache Kafka, Airflow, SQL/NoSQL databases)
• Software engineering skills in at least one of: Python, Go, Rust, or C++, along with Git and CI/CD experience
• Excellent cross-team collaboration abilities
• Fast learning capacity to adapt to evolving AI technologies
• Strong problem-solving skills for optimising AI training and inference efficiency

Benefits

• Competitive salary package
• Opportunity to work with cutting-edge AI technologies
• Collaborative and innovative work environment
• Professional development opportunities
• Strategic role in a growing technology company