Machine Learning Engineer

Nexus Corporation; Hong Kong; On-site; HKD 420,000 - 700,000; Full time

Job summary

Nexus Corporation is seeking a Machine Learning Engineer to design, develop and deploy ML solutions that support business objectives. You will work closely with data scientists, data engineers and business stakeholders to build scalable models and bring them into production.

This is a 1-year rolling contract requiring Cantonese and English speaking. You will develop and optimize ML models, implement end-to-end pipelines, and evaluate performance while collaborating across teams.

Qualifications

• Requires a Bachelor's degree in CS/DS/Engineering or related field.
• Minimum 3 years of experience in ML model development and deployment.
• Strong Python programming skills and familiarity with ML frameworks (scikit-learn, TensorFlow, PyTorch, XGBoost).
• Experience building ML pipelines and MLOps; knowledge of cloud platforms (Azure/AWS/GCP).

Responsibilities

• Develop, train and optimize machine learning and deep learning models.
• Design end-to-end ML pipelines for data prep, training, deployment and monitoring.
• Collaborate with data engineers to build scalable data processing solutions.
• Deploy and maintain ML models in cloud and on-prem environments.
• Monitor model performance and implement continuous improvement processes.
• Conduct model evaluation, testing and troubleshooting.
• Collaborate with business and technical teams to translate requirements into AIML solutions.
• Document technical designs, methodologies and implementation details.

Skills

Python

ML model deployment

ML pipelines

Education

Bachelor's degree in Computer Science/Data Science/Engineering

Tools

Docker

Kubernetes

CI/CD

Job description

We are seeking a Machine Learning Engineer to design develop and deploy machine learning solutions that support business objectives The successful candidate will work closely with data scientists data engineers and business stakeholders to build scalable AIML models and integrate them into production environments

This will be a 1 year rolling contract. Cantonese and English speaking is mandatory

Responsibilities

• Develop train and optimize machine learning and deep learning models
• Design and implement endtoend ML pipelines for data preparation model training deployment and monitoring
• Collaborate with data engineers to build scalable data processing solutions
• Deploy and maintain ML models in cloud and onpremises environments
• Monitor model performance and implement continuous improvement processes
• Conduct model evaluation testing and troubleshooting
• Collaborate with business and technical teams to translate requirements into AIML solutions
• Document technical designs methodologies and implementation details

Requirements

• Bachelors or Masters degree in Computer Science Data Science Engineering Mathematics or a related discipline
• 3 years of experience in machine learning model development and deployment
• Strong programming skills in Python
• Experience with ML frameworks such as Scikitlearn TensorFlow PyTorch or XGBoost
• Experience building and maintaining ML pipelines and MLOps practices
• Familiarity with cloud platforms such as Azure AWS or GCP
• Strong understanding of data structures algorithms statistics and model evaluation techniques
• Experience working with SQL and large datasets

Preferred Skills

• Experience with Generative AI and Large Language Models LLMs
• Knowledge of Docker Kubernetes and CICD practices
• Experience with vector databases RAG architectures and AI application development
• Exposure to financial services or regulated industries