全职 AI Ops Engineer 工作, 薪水 up to SGD 9,000, ITCAN PTE. LIMITED Central Region (Singapore) 公司招聘中 - Ricebowl

Data & AI Operations Engineer #AIDA

Be a Part of Something BIG! 

• Apply AI, ML, and LLM-based tools to solve real-world operational and reliability challenges
• Identify, prototype, and validate AI-driven improvements to day-to-day operations using clear, measurable metrics
• Operationalise successful AI use cases into reliable, scalable, and maintainable production capabilities
• Improve system observability, incident detection, root-cause analysis, and operational efficiency through automation and intelligence
• Support the end-to-end lifecycle of AIOps, MLOps, and LLMOps solutions, from experimentation to production
• Ensure operational reliability, robustness, and maintainability of AI-enabled systems
• Collaborate closely with senior engineers and operations teams to align solutions with business and operational needs
• Continuously evaluate emerging AI technologies and tools for practical applicability and impact
• Embed best practices for monitoring, governance, and responsible use of AI in operational environments

Make an Impact by:

• Explore and evaluate AI, ML, and LLM-based tools that can improve operational efficiency and visibility
• Build small proof-of-concepts or prototypes to validate ideas in operational contexts
• Measure outcomes using simple, clearly defined metrics
• Analyze logs, metrics, traces, and events to identify anomalies and automation opportunities
• Assist in deploying, monitoring, and maintaining ML or LLM-enabled solutions
• Automate repetitive operational tasks using scripts, workflows, or lightweight services
• Work with senior engineers to turn validated ideas into stable, scalable capabilities
• Document solutions, trade-offs, and lessons learned for reuse by other teams
• Stay informed on relevant AI and open-source tooling, and suggest ideas worth testing

Skills for Success: 

• Bachelor’s or Master’s degree in Computer Science or a related field
• 1–2 year experience:
• Python, SQL, Apache Spark, or similar languages
• Data Wrangling, Analysis and Visualisation
• Containers and deployment fundamentals (Docker; Kubernetes)
• Version Control (Git)
• Testing (pytest)
• MLOps/GenAI Ops tools
• Internships, graduate projects, hackathons, open-source contributions, or relevant work experience in:
• Software development
• Automation
• AI / ML / GenAI-related project
• Familiarity with
• Software engineering best practices, including OO/Functional design, reproducibility, and testing
• Logs, metrics, and monitoring concepts
• ML/GenAI tooling (LLM, RAG, LlamaGuard, Presidio, MLFlow, LangFuse etc)
• Monitoring and observability stacks (Prometheus, Grafana, OpenTelmetry)
• Hands-on experience with cloud ML services (Databricks, Azure ML, etc.)
• Hands-on, curious, and proactive
• Pragmatic and focused on operational impact
• Disciplined about scaling what works and discarding what doesn’t
• Collaborative and able to communicate ideas clearly
• Self-driven and proactive, comfortable working in a fast-paced environment
• Familiarity with AI and data development process in telco environment