Machine Learning Integration Engineer

2 weeks ago

Singapore ASTEK SINGAPORE INNOVATION TECHNOLOGY PTE. LTD. Full time

**Key Responsibilities**:

- Design and build scalable machine learning pipelines tailored for **Generative AI**and **Agentic AI**use cases.
- Integrate AI models into production environments using **containerization platforms**such as **OpenShift**, **Docker**, and **Kubernetes**.
- Collaborate with cross-functional teams to understand AI workflows and translate them into stable, production-ready engineering solutions.
- Create and maintain **automation scripts**using **Python**, **Linux shell scripting**, and other relevant tools.
- Manage seamless deployment and integration of AI services in **cloud platforms**, specifically **AWS**, **Azure**, and **GCP**.
- Implement and uphold **network security protocols**to protect AI models, systems, and data pipelines.
- Continuously monitor and improve system **performance**, **scalability**, and **reliability**.
- Contribute to and support **CI/CD pipelines**for AI model deployment and lifecycle management.

**Required Qualifications**:

- Bachelor's degree in **Computer Science**, **Engineering**, or a related field.
- Minimum of **4 years’ experience**in **Machine Learning engineering**or **AI system integration**.
- Proven hands-on experience with **OpenShift**, **Docker**, and **Kubernetes**.
- Proficiency in **cloud platforms**, particularly **AWS**and **GCP**.
- Working knowledge of **data and network security**practices for AI systems.
- Solid understanding of **Generative AI**and **Agentic AI**principles.
- Experience in **LLM prompt engineering**or building **RAG pipelines**.
- Familiarity with **API integration**and **microservices architecture**.
- Strong proficiency in **Python**, both for **machine learning**and **automation**tasks.
- Advanced knowledge of **Bash**and **Unix/Linux command-line tools**.
- Experience with **workflow orchestrators**such as **Ctrl-M**.
- Familiarity with **logging and monitoring tools**, including **Splunk**and **Geneos**.
- Understanding of **observability frameworks**such as **Langfuse**, **Elastic Stack**, **Grafana**, and **OpenTelemetry**.

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