The role involves designing ML pipelines, integrating AI models into production, collaborating on AI workflows, automating tasks, and ensuring system performance and security in cloud environments.
- Design and implement scalable ML pipelines for Generative and Agentic AI applications.
- Integrate AI models into production environments using containerized platforms such as OpenShift and Kubernetes.
- Collaborate with cross-functional teams to understand AI workflows and translate them into robust engineering solutions.
- Develop and maintain automation scripts using Linux shell scripting, Python, or other relevant tools.
- Ensure seamless deployment and integration of AI services in cloud environments (e.g., AWS, Azure, GCP).
- Implement and maintain network security protocols to safeguard AI systems and data pipelines.
- Monitor and optimize system performance, reliability, and scalability.
- Support CI/CD processes and infrastructure for AI model deployment and updates.
Requirements
- 5+ years of experience in Machine Learning engineering or AI system integration.
- Hands-on experience with OpenShift, Docker, Kubernetes.
- Knowledge of cloud platforms (e.g. AWS, GCP) is a must-have.
- Exposure to data and network security and compliance in AI systems.
- Understanding of Generative AI and Agentic AI concepts.
- Experience with LLM prompt engineering, or RAG pipelines.
- Knowledge of API integration and microservices architecture.
- Proficiency in Python used both for ML and automation tasks
- Good knowledge of Bash and Unix/Linux command-line toolkit is a must-have.
- Knowledge of Workflow Orchestrator, such as Ctrl-M
- Knowledge of Logging and Monitoring tools, such as Splunk and Geneos.
- Experience with Observability framework, such as Langfuse, Elastic Stack, Grafana, OpenTelemetry.
Top Skills
Api Integration
AWS
Bash
Ci/Cd
Ctrl-M
Docker
Elastic Stack
GCP
Geneos
Grafana
Kubernetes
Linux Shell Scripting
Machine Learning
Microservices
Observability Framework
Openshift
Opentelemetry
Python
Splunk
Unix/Linux
Unison Consulting Singapore Office
1 Changi Business Park Crescent, , Plaza 8 #03-06 Tower A, Singapore, , Singapore, 486025
Unison Consulting Singapore Office
#12-00, 63 Market Street, Bank of Singapore Center, Singapore, , Singapore, 048942
Similar Jobs
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
The Sales Specialist promotes growth in the Next-Gen SIEM and Log Management business, focusing on enterprise customers and driving sales strategy.
Top Skills:
Salesforce
Artificial Intelligence • Fintech • Payments • Business Intelligence • Financial Services • Generative AI
The role involves leading the technical strategy for IAM, designing high-availability products, optimizing infrastructure, and mentoring engineers while ensuring compliance and security in a rapidly growing environment.
Top Skills:
AWSAzureCassandraDockerGCPGoJavaKotlinKubernetesOauth2OidcPostgresPythonRedisSAML
Artificial Intelligence • Fintech • Payments • Business Intelligence • Financial Services • Generative AI
Lead teams in building and operating critical components of the issuing platform, focusing on people management, technical direction, and delivery ownership.
Top Skills:
AWSDockerGCPGoGrafanaJavaKafkaKotlinKubernetesPrometheusPythonRestful ApisSplunk
What you need to know about the Singapore Tech Scene
The digital revolution has driven a constant demand for tech professionals across industries like software development, data analytics and cybersecurity. In Singapore, one of the largest cities in Southeast Asia, the demand for tech talent is so high that the government continues to invest millions into programs designed to develop a talent pipeline directly from universities while also scaling efforts in pre-employment training and mid-career upskilling to expand and elevate its workforce.
