Lead Machine Learning Integration Engineer

2 weeks ago

Singapore SYNECHRON TECHNOLOGIES SINGAPORE PTE. LTD. Full time

This **Lead ML / Integration Engineer**role focuses on building and integrating **Generative AI**and **Agentic AI**solutions into enterprise environments. You will work closely with data scientists, architects, and DevOps teams to design, implement, and optimize AI pipelines and infrastructure.

**Responsibilities**:

- 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.

**Job Requirements**:

- Bachelor’s degree in Computer Science, Engineering, or a related field.
- **7+ 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.

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