Axiom Technologies is a Global IT Services partner supporting medium- to large-scale enterprises. Please visit our website for more information about what we do at www.axiomtechnologies.com.
We are looking for a capable resource to coordinate activities ranging from simple tasks to more complex plans. This role will provide onsite/ on-call assistance to end-users within the organization’s desktop computing environment in a timely and accurate fashion to ensure optimal service delivery.
Position Overview
We are looking for an experienced AI Engineer / AI Specialist to join our client’s team in Hong Kong. The resource will be responsible for designing, developing, deploying, and supporting AI, Machine Learning, Deep Learning, and Generative AI solutions within an enterprise environment.
The ideal candidate will have strong hands-on experience in Python, Machine Learning, Generative AI/LLMs, RAG, data engineering, cloud platforms, APIs, MLOps, and AI security. Experience delivering AI solutions in the insurance or financial services sector will be highly desirable.
Key Responsibilities
- Design, develop, and implement AI and Machine Learning solutions to address business and operational requirements.
- Develop production-grade applications and AI solutions using Python and relevant software development frameworks.
- Build and implement Machine Learning and Deep Learning models using TensorFlow, PyTorch, scikit-learn, or equivalent technologies.
- Develop Generative AI and LLM-based solutions, including prompt engineering, model fine-tuning, RAG architectures, and enterprise AI applications.
- Design and implement Retrieval-Augmented Generation (RAG) solutions integrating enterprise data and knowledge repositories.
- Develop and maintain data pipelines required for AI/ML model training, inference, and analytics.
- Work with vector databases and knowledge management solutions to support enterprise AI use cases.
- Develop and integrate REST APIs and other system interfaces to connect AI solutions with enterprise applications.
- Deploy and manage AI/ML solutions across Azure, AWS, GCP, or equivalent cloud environments.
- Implement MLOps practices, including model deployment, versioning, monitoring, performance management, and lifecycle management.
- Establish appropriate AI model governance, security, privacy, and responsible AI practices.
- Collaborate with business stakeholders, data teams, application teams, infrastructure teams, and other technology functions to deliver enterprise AI solutions.
- Troubleshoot, optimise, and continuously improve AI/ML models and applications in production environments.
- Prepare technical documentation covering architecture, models, APIs, deployment processes, and operational procedures.
- Ensure AI solutions comply with applicable enterprise security, privacy, governance, and regulatory requirements.
Required Technical Skills
Programming & Development
- Strong proficiency in Python programming
- Software development and engineering practices
- API development and system integration
AI / Machine Learning
- Machine Learning and Deep Learning
- TensorFlow
- PyTorch
- scikit-learn
- Model development, training, evaluation, and optimisation
Generative AI / LLM
- Large Language Models (LLMs)
- Prompt engineering
- Fine-tuning
- RAG architectures
- LLM application development
- Knowledge management and enterprise AI solutions
Data Engineering
- Data engineering concepts
- Data pipelines and data processing
- Data integration and preparation for AI/ML workloads
Cloud
Experience with one or more:
- Microsoft Azure
- Amazon Web Services (AWS)
- Google Cloud Platform (GCP)
MLOps
- Model deployment
- Model monitoring
- Model lifecycle management
- Model versioning
- AI/ML governance
Vector & Knowledge Technologies
- Vector databases
- Embedding technologies
- Enterprise knowledge repositories
- Knowledge management solutions
AI Security & Governance
- AI security
- Data privacy
- Responsible AI
- Model governance
- Enterprise security practices
Business Analysis & Agile Experience
- Experience in business analysis or technical business analysis within an enterprise environment.
- Strong experience in requirements gathering, analysis, documentation, and stakeholder engagement.
- Ability to translate business requirements into user stories, acceptance criteria, functional requirements, and technical specifications.
- Experience working in Agile/Scrum environments and sprint-based delivery models.
- Participation in Sprint Planning, Daily Stand-ups, Backlog Refinement, Sprint Reviews, and Retrospectives.
- Experience working with Jira, Azure DevOps, or similar Agile tools is preferred.
- Ability to effectively communicate AI/technical concepts to business and non-technical stakeholders.
- Experience collaborating with Product Owners, Business Analysts, Developers, Data Scientists, and Architecture teams.
What next?
If you are looking for that next challenge in your career and wish to apply for this role, please forward your resume to careers.hk@axiomtechnologies.com