Machine Learning

Company : Hays

Job Type : Contract

Hong Kong

Number of Applicants

000+

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Job Description - Machine Learning

Responsibility

Operate, maintain, and continuously enhance the enterprise AI Platform and Data Lakehouse, focusing on automation, scalability, and operational stability.
Build and refine end to end DataOps and MLOps pipelines across the full ML lifecycle.
Engineer core platform capabilities including containerisation, orchestration, deployment, logging, and observability.
Create reusable platform services and seamlessly integrate internal and external APIs / MCPs.
Enable large scale distributed data and ML workloads on Docker, Kubernetes, Spark, Airflow, and Databricks.
Establish robust monitoring and alerting for platform health, data pipelines, and ML services.
Drive innovation through technology evaluation, best practice adoption, and platform optimization.
Lead and support PoCs, platform validation, and acceptance testing.
Partner closely with Architects, Platform Engineers, and Product Owners in a CI/CD environment.
Collaborate with AI Engineers, Data Engineers, and business teams to deliver production ready AI solutions.

Requirements

Bachelor's degree or above in Computer Science, Software Engineering, or a related field.
4+ years of hands on experience in platform, infrastructure, or large scale systems engineering.
Proven track record delivering enterprise AI or data platforms.
Strong practical experience in DataOps and MLOps, including model lifecycle automation, deployment, monitoring, and governance.
Proficiency in Python, Bash, and SQL.
Hands on experience with Docker, Kubernetes, Helm, and Terraform.
Experience with CI/CD and automation tools such as Jenkins, Git, and Ansible.
Practical exposure to Airflow, Spark, Databricks, Jupyter, and MLflow.
Experience building monitoring and observability solutions using Grafana, Prometheus, and Loki.

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

Original job Machine Learning posted on GrabJobs ©. To flag any issues with this job please use the Report Job button on GrabJobs.

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Machine Learning

Job Description - Machine Learning

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