ML Engineer - End-to-End AI Pipelines & Deployment

CLPS Technology (Hong Kong) Co., Limited; Hong Kong; On-site; HKD 480,000 - 720,000; Full time

Job summary

CLPS Inc is seeking a Machine Learning Engineer to design, develop and deploy machine learning solutions aligned with business objectives. You will work with data scientists, data engineers, and stakeholders to build scalable ML models and integrate them into production environments.

Responsibilities include developing, training, and optimizing ML models, designing end-to-end ML pipelines, deploying models in cloud and on-premises environments, and collaborating with teams to translate

Qualifications

• Bachelors or Masters degree in Computer Science, Data Science, Engineering, Mathematics or related field.
• 3 years of experience in ML model development and deployment.
• Strong programming in Python with ML frameworks (Scikit-learn, TensorFlow, PyTorch, XGBoost).
• Experience building and maintaining ML pipelines and MLOps practices.

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.

Skills

Python

ML frameworks

ML pipelines

MLOps

Cloud platforms

SQL & datasets

Docker Kubernetes

Education

Bachelor's or Master's degree

Tools

Scikit-learn

TensorFlow

PyTorch

XGBoost

Job description

CLPS Inc is seeking a Machine Learning Engineer to design, develop and deploy machine learning solutions aligned with business objectives. You will work with data scientists, data engineers, and stakeholders to build scalable ML models and integrate them into production environments.

Responsibilities include developing, training, and optimizing ML models, designing end-to-end ML pipelines, deploying models in cloud and on-premises environments, and collaborating with teams to translate