Job opening - LLM Engineer / MLOps Engineer / Software Engineer (AI) in Hong Kong | Randstad Hong Kong

summary

hong kong
HK$30,000 - HK$40,000 per month, and Bonus
permanent
full-time

specialism
information technology
sub specialism
data science & machine learning
reference number
91M0263661_2827696142795248506

job details

about the company.
As accelerating toward Industry 4.0, the hiring company aims to develop an AI system that will aim at optimizing production workflows, minimizing defect rates, shortening new product development cycles., ensuring remain at the forefront of the electronics manufacturing industry - smart manufacturing.
...

My client is looking for skilled technical talents to help building and scaling AI platform.

(1) LLM Engineer

Proven experience with LLM frameworks such as Hugging Face, TensorFlow, or PyTorch.
Strong background in natural language processing (NLP) and machine learning.
Experience with fine-tuning and deploying large-scale models.
Proficiency in Python and familiarity with cloud platforms like AWS, GCP, or Azure.

skills & experiences required.

At least 1 year’ real-life experience in LLM adoption.
Hands-on experience with various LLM
Hands-on experience with LLM finetuning, RAG, and
multi-agent approach.

(2) MLOps Engineer

Design and implement MLOps pipelines for model training, testing, and deployment.
Manage and automate the end-to-end machine learning lifecycle (data ingestion, model training, serving, and monitoring).
Build and maintain scalable and robust machine learning infrastructure on cloud platforms.
Implement monitoring and alerting systems to ensure model performance and data integrity in production.
Work closely with data scientists and ML engineers to optimize model deployment strategies.

skills & experiences required.

Proficient in Python, Typescript, Go and Java
Experience with Kubeflow/Cube Studio or other MLOps platforms is mandatory;2+ years of experience in Kubernetes cluster operation, a deep understanding of cloud native software stack,
2+ years of development and deployment experience with different data/AI-platform tools such as StarRocks, DolphinScheduler, Label Studio, Dify.

Familiar with Hardware such as laptops, PC servers, Ethernet, cables, switches/hubs, and software such as Linux, VM, VPN, and Firewall.

(3) Software Engineer (AI)

Build data-driven solutions to support faster product development and prototyping.
Collaborate with cross-functional teams to deploy software and ML models into production environments.
Develop and maintain internal documentation, best practices, and software version pipelines.
Assist in developing a 5-year roadmap for integrating AI into smart manufacturing.

skills & experiences required.

Bachelor’s degree in computer science, or a related field.
2+ years of hands-on experience with full-stack web front/backend solution development.
Familiarity with version control tools (e.g., Git).
Proficient in AI programming tools such as Cursor, with an understanding of how to leverage AI to enhance R&D efficiency.
Experience with machine learning or LLM integration

If you’re interested in this exciting opportunity please don’t delay and click APPLY NOW for more information you can reach out to Wendy Fung at wendy.fung@randstad.com.hk with the resume.

show more

about the company.
As accelerating toward Industry 4.0, the hiring company aims to develop an AI system that will aim at optimizing production workflows, minimizing defect rates, shortening new product development cycles., ensuring remain at the forefront of the electronics manufacturing industry - smart manufacturing.

My client is looking for skilled technical talents to help building and scaling AI platform.

(1) LLM Engineer

Proven experience with LLM frameworks such as Hugging Face, TensorFlow, or PyTorch.
Strong background in natural language processing (NLP) and machine learning.
Experience with fine-tuning and deploying large-scale models.
Proficiency in Python and familiarity with cloud platforms like AWS, GCP, or Azure.

skills & experiences required.

At least 1 year’ real-life experience in LLM adoption.
Hands-on experience with various LLM
Hands-on experience with LLM finetuning, RAG, and
multi-agent approach.

...

(2) MLOps Engineer

Design and implement MLOps pipelines for model training, testing, and deployment.
Manage and automate the end-to-end machine learning lifecycle (data ingestion, model training, serving, and monitoring).
Build and maintain scalable and robust machine learning infrastructure on cloud platforms.
Implement monitoring and alerting systems to ensure model performance and data integrity in production.
Work closely with data scientists and ML engineers to optimize model deployment strategies.

skills & experiences required.

Proficient in Python, Typescript, Go and Java
Experience with Kubeflow/Cube Studio or other MLOps platforms is mandatory;2+ years of experience in Kubernetes cluster operation, a deep understanding of cloud native software stack,
2+ years of development and deployment experience with different data/AI-platform tools such as StarRocks, DolphinScheduler, Label Studio, Dify.

Familiar with Hardware such as laptops, PC servers, Ethernet, cables, switches/hubs, and software such as Linux, VM, VPN, and Firewall.

(3) Software Engineer (AI)

Build data-driven solutions to support faster product development and prototyping.
Collaborate with cross-functional teams to deploy software and ML models into production environments.
Develop and maintain internal documentation, best practices, and software version pipelines.
Assist in developing a 5-year roadmap for integrating AI into smart manufacturing.

skills & experiences required.

Bachelor’s degree in computer science, or a related field.
2+ years of hands-on experience with full-stack web front/backend solution development.
Familiarity with version control tools (e.g., Git).
Proficient in AI programming tools such as Cursor, with an understanding of how to leverage AI to enhance R&D efficiency.
Experience with machine learning or LLM integration

If you’re interested in this exciting opportunity please don’t delay and click APPLY NOW for more information you can reach out to Wendy Fung at wendy.fung@randstad.com.hk with the resume.

show more

key responsibilities
As accelerating toward Industry 4.0, the hiring company aims to develop an AI system that will aim at optimizing production workflows, minimizing defect rates, shortening new product development cycles and looking for skilled technical talents to help building and scaling AI platform.
experience
2 years
skills
no additional skills required
qualifications
no additional qualifications required
education
Bachelor Degree

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WF

wendy fung

llm engineer / mlops engineer / software engineer (ai)
- permanent
- HK$30,000 - HK$40,000 per month, and Bonus
about the company.As accelerating toward Industry 4.0, the hiring company aims to develop an AI system that will aim at optimizing production workflows, minimizing defect rates, shortening new product development cycles., ensuring remain at the forefront of the electronics manufacturing industry - smart manufacturing.My client is looking for skilled technical talents to help building and scaling AI platform.(1) LLM EngineerProven experience with LLM framew
posted 3 september 2025
about the company.As accelerating toward Industry 4.0, the hiring company aims to develop an AI system that will aim at optimizing production workflows, minimizing defect rates, shortening new product development cycles., ensuring remain at the forefront of the electronics manufacturing industry - smart manufacturing.My client is looking for skilled technical talents to help building and scaling AI platform.(1) LLM EngineerProven experience with LLM framew
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