U3 INFOTECH PTE. LTD. Hiring! Full Time ML Ops Integration Engineer in Islandwide (Singapore), Earn up to SGD 6,000 - Ricebowl

Role: ML Ops Integration Engineer
Duration: 12 months ( renewable)
Location: Singapore

Key Responsibilities:

• Develop and maintain automation scripts using Linux shell scripting, Python, or other relevant tools.

• Ensure seamless deployment and integration between cloud/prem environments (AWS).

• Integrate AI models into production environments using containerized platforms such as OpenShift.

• Implement and maintain network security protocols to safeguard AI systems and data pipelines.

• Collaborate with cross-functional teams to understand AI workflows and translate them into robust engineering solutions.

• Monitor and optimize system performance, reliability, and scalability.

• Support CI/CD processes and infrastructure for AI model deployment and updates.

Requirements:

• Bachelor’s degree in Computer Science, Engineering, or a related field.

• 4+ years of experience in Machine Learning engineering or AI system integration.

• Bash and Unix/Linux command-line toolkit is a must-have.

• Hands-on experience with OpenShift, Docker, Kubernetes.

• Knowledge of cloud platforms (e.g. AWS) is a must-have.

• Exposure to data and network security and compliance in AI systems.

• Knowledge of API integration and microservices architecture.

• Proficiency in Python used both for automation and ML-related tasks

• Knowledge of Workflow Orchestrator, such as Ctrl-M

• Good knowledge of Logging and Monitoring tools, such as Splunk and Geneos.

• Experience with Observability framework, such as Langfuse, ElasticStack, Grafana, Open Telemetry.

• Understanding of Generative AI (e.g. prompt engineering, RAG pipelines) and Agentic AI concepts.

Key Domain/Technical Skills:

• MLOps & AI Platform Engineering

• Cloud, Container & Infrastructure Integration

• Security & Enterprise Integration