15148

Zohorecruit; Hong Kong; On-site; HKD 700,000 - 1,100,000; Full time

Job summary

Zohorecruit is seeking a Machine Learning Engineer to design, develop and deploy machine learning solutions that support business objectives. You will work closely with data scientists, data engineers and business stakeholders to build scalable AI/ML models and integrate them into production environments.

Responsibilities include developing and optimizing models, end-to-end ML pipelines, collaboration with data engineers, deploying in cloud and on-premises, monitoring performance and documenting

Qualifications

• Bachelor's or Master's in CS, data science, engineering or related.
• At least 3 years of ML model development and deployment.
• Strong Python programming skills.
• Experience with ML frameworks: Scikit-learn, TensorFlow, PyTorch or XGBoost.
• Experience building ML pipelines and MLOps practices.
• Familiarity with cloud platforms: Azure, AWS or GCP.
• Understanding of data structures, algorithms, statistics, and model evaluation.
• Experience with SQL and large datasets.

Responsibilities

• Develop, train and optimize ML and deep learning models.
• Design end-to-end ML pipelines for data prep, model training, deployment and monitoring.
• Collaborate with data engineers to build scalable data processing solutions.
• Deploy and maintain ML models in cloud and on-premises 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 ML solutions.
• Document technical designs methodologies and implementation details.

Skills

Python programming

SQL

Data structures

Algorithms

Statistics

Model evaluation

Education

Bachelor's or Master's degree in Computer Science Data Science Engineering Mathematics or related

Tools

Scikit-learn

TensorFlow

PyTorch

XGBoost

ML pipelines

MLOps

Docker

Kubernetes

CI/CD

Vector databases

RAG architectures

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.

Responsibilities

• Develop train and optimize machine learning and deep learning models
• Design and implement end-to-end 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 on-premises 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

What we are looking for:

• 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

Languages

Business-level proficiency in Mandarin, Cantonese, and English is mandatory.