Machine Learning Engineer

Position: Machine Learning Engineer

Location: Singapore

Employment Type: Full-Time

We are seeking an experienced Machine Learning Engineer to lead the development and integration of Generative and Agentic AI solutions within enterprise environments. This role involves close collaboration with data scientists, architects, and DevOps teams to design scalable AI infrastructure and ensure efficient deployment across cloud platforms.

Key Responsibilities:

• Develop and implement scalable ML pipelines for Generative and Agentic AI use cases
• Deploy AI models in production using container platforms such as Kubernetes and OpenShift
• Automate workflows using Python, Bash, and Linux-based tools
• Integrate AI solutions into cloud environments (AWS, GCP, Azure)
• Ensure system security, reliability, and performance monitoring
• Support CI/CD processes for AI model updates and deployment

Requirements:

• Minimum 7 years of experience in ML engineering or AI system integration
• Proficiency in Python, Bash, Kubernetes, and Docker
• Strong understanding of cloud infrastructure (AWS, GCP)
• Experience with Generative AI, LLM prompt engineering, and RAG pipelines
• Familiarity with observability and logging tools (e.g., Splunk, Grafana, Langfuse)
• Knowledge of APIs, microservices architecture, and workflow orchestrators (e.g., Ctrl-M)

Preferred Attributes:

• Strong communication and organizational skills
• Detail-oriented with a proactive, solution-driven mindset
• Experience in mentoring and collaborative team environments