AI Consultant | LLMOps/DataOps/ MLOps

Company : Hays

Job Type : Contract

Hong Kong

Number of Applicants

000+

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Job Description - AI Consultant | LLMOps/DataOps/ MLOps

Responsibilities

Operate, automate, and enhance the day to day operation of the AI Platform and Data Lakehouse, including deployment, monitoring, logging, and lifecycle management.
Contribute to the design and development of AI platform components and services, supporting proprietary, open-source, and in-house applications.
Develop backend services and APIs to integrate internal systems, external APIs, MCPs, and AI / LLM services.
Support the deployment and integration of LLM-based solutions, including chatbots, RAG pipelines, and agent-based workflows in production applications.
Work closely with AI Engineers and Data to enable data pipelines, model serving, orchestration, monitoring, and retraining workflows.
Design and validate platform proof-of-concepts (PoCs), performance tests, and acceptance testing for AI, data, and LLM technologies.
Evaluate new tools, frameworks, and technologies to improve performance, scalability, security, and maintainability of the AI platform.
Provide clear visibility into platform structure, health, and performance through dashboards, logs, and operational metrics.
Collaborate with Architects, Platform Engineers, and Product Owners in a continuous delivery environment.
Independently manage assigned engineering deliverables while aligning with project timelines and stakeholder expectations.

Requirements

Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related field.
4+ years of hands on experience in platform engineering, application development, or data/AI platform delivery.
Strong programming and scripting skills in Python, Bash, and SQL.
Hands on experience working with Large Language Models (LLMs), including usage, deployment, or integration into applications.
Practical experience with LLM based systems, such as chatbots, knowledge assistants, or workflow driven AI applications.
Solid experience with Docker, Kubernetes, Terraform, and Helm for infrastructure and deployment.
Experience designing and operating CI/CD pipelines using tools such as Jenkins, Git, and Ansible.
Proven experience delivering AI platforms or data platforms in large-scale enterprise environments.
Strong understanding of DataOps and MLOps, including model versioning, deployment, monitoring, and lifecycle management.
Experience with public cloud platforms (AWS, Azure, and/or AliCloud); relevant certifications are an advantage.

If you're interested in this role, please forward your latest resume to [email protected] or contact Cheryl Ng at +852 2101 0081.

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AI Consultant | LLMOps/DataOps/ MLOps

Job Description - AI Consultant | LLMOps/DataOps/ MLOps

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