AI Engineer

2 weeks ago


hong kong, Hong Kong SAR China NP Solution Limited Full time

The Specialist I (AI Solutions) will report to the Manager (AI Solutions) and collaborate across departments to architect, build, and implement scalable AI/ML solutions that tackle key business objectives. This role requires hands‑on technical proficiency, strong analytical capabilities, and the ability to convert complex models into reliable, production‑grade systems. Acquire, preprocess, and engineer features from diverse data sources. Design and maintain robust data pipelines while ensuring adherence to data governance standards. Explore, develop, and test machine learning and deep learning algorithms. Adapt commercial or open‑source AI platforms (e.g., Azure ML, Hugging Face, Watsonx, Dify) to meet organizational needs. Conduct thorough model validation, fine‑tuning, and bias/error assessments. Deployment & Integration Partner with IT teams to containerize models, expose APIs, and embed AI capabilities into enterprise systems using CI/CD methodologies. Monitoring & Optimization Set up monitoring tools to assess model accuracy, drift, and system performanceContinuously enhance models to ensure optimal performance and compliance with internal policies. Enablement & Documentation Produce clear technical documentation and lead training sessions to empower teams in using AI tools effectively. Help define best practices and contribute to internal AI guidelines and frameworks. Research & Exploration Keep pace with emerging AI research and industry innovations. Experiment with advanced AI techniques and recommend adoption when they offer measurable business impact. Carry out additional tasks as directed by supervisor(s). Qualifications Bachelor’s degree or higher in Computer Science, Information Technology, Artificial Intelligence, Fintech, or related fields. At least 3 years of practical experience in AI engineering, machine learning, or data science, ideally in corporate environments. Demonstrated portfolio of deployed AI models (e.g., GitHub repositories, project summaries). Skilled in Python or R, with hands‑on experience using ML libraries (TensorFlow, PyTorch, scikit‑learn), SQL, and cloud‑based AI/ML platforms (AWS, Azure, GCP); familiarity with MLOps tools such as Docker, Kubernetes, MLflow. Strong analytical mindset with solid grounding in statistics, data ethics, and governance principles. Excellent communication skills with the ability to distill technical concepts into actionable business insights. Proficient in both English and Chinese; fluency in Putonghua is a plus. #J-18808-Ljbffr


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