Machine Learning Engineer

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

Job Summary:
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:

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

Information Technology Services 101-1,000 employees

Global IT services

CLPS Inc is a global fintech leader operating from our international offices, with a diverse workforce of over 3000+ to ensure the development, implementation, and support of our platform which is used by banks, insurance, asset managers, corporations, and utilities, across the world. Fintech is changing global business landscapes which allows challenging possibilities for us all. Join CLPS and work on the challenges of an industry at the forefront of innovation and thrive in a people-centric environment. We

are committed to the development of young talents who will be part of one global team where you can join our prestigious clients as creative think tanks.

Global IT services

CLPS Inc is a global fintech leader operating from our international offices, with a diverse workforce of over 3000+ to ensure the development, implementation, and support of our platform which is used by banks, insurance, asset managers, corporations, and utilities, across the world. Fintech is changing global business landscapes which allows challenging possibilities for us all. Join CLPS and work on the challenges of an industry at the forefront of innovation and thrive in a people-centric environment. We

are committed to the development of young talents who will be part of one global team where you can join our prestigious clients as creative think tanks.