Machine Learning / Integration Engineer

Position: Machine Learning / Integration Engineer Location: Singapore (Mandatory to be based in Singapore) EP and Visa Support Provided Contact Person: Elle Email: [HIDDEN TEXT] Contact Number: +60122373585 Job Overview: We are looking for a Machine Learning / Integration Engineer to join an enterprise analytics team focused on deploying and integrating advanced AI solutions. This role involves building scalable ML pipelines, automating infrastructure, and supporting the integration of Generative and Agentic AI into real-world production environments. Key Responsibilities: Design and implement ML pipelines for enterprise AI applications Integrate AI models into production using container platforms such as OpenShift, Docker, and Kubernetes Collaborate with cross-functional teams including DevOps, Data Science, and Architecture Automate infrastructure and model deployment using Python, Bash, and related scripting tools Support deployment in cloud platforms such as AWS, Azure, or GCP Ensure security compliance and implement IAM controls across environments Monitor system performance and enhance scalability and observability Support CI/CD practices and contribute to automation frameworks Requirements: Bachelor's degree in Computer Science, Engineering, or related discipline Minimum 4 years of experience in Machine Learning engineering or system integration Hands-on experience with OpenShift, Docker, and Kubernetes Proficient in Python, Bash, and Unix/Linux environments Experience with Terraform, CloudFormation, or similar Infrastructure-as-Code tools Strong knowledge of cloud environments (AWS required; Azure or GCP a plus) Familiarity with Generative AI, LLMs, RAG pipelines, and API integration Knowledge of microservices architecture and DevOps toolchains Exposure to workflow orchestration tools such as Ctrl-M Experience with monitoring and observability tools like Splunk, Grafana, Elastic Stack, OpenTelemetry, or Langfuse Strong communication skills and ability to work across teams