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Open nowPosted 8 days ago

AI/ML Engineer

MyCareersFuture94,028 open roles

Pay
SGD 8,500 – SGD 11,000 a month
Where
West, Singapore
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Your applicationOpen nowAI/ML EngineerMyCareersFuture · West, Singapore

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  4. 14.0%14 days
  5. 33.7%30 days
This job: posted 8 days ago

The posting

About the Role

We are looking for a AI/ML Engineer with deep, hands-on expertise in designing, building, and deploying production-grade GenerativeAI, RAG, and Agentic AI solutions on the Azure cloud platform. This is a full-stack AI engineering role spanning model development, orchestration, deployment, and operations — ideal for someone who thrives at the intersection of applied machine learning, LLM engineering, and scalable cloud architecture.

You will work on high-impact AI initiatives, building intelligent systems that combine LLMs, retrieval pipelines, and autonomous agents into robust, enterprise-ready applications.

Key Responsibilities

  • Design, develop, and deploy end-to-end GenAI, RAG, and Agentic AI solutions using Azure OpenAI Service and the broader Azure AI ecosystem.
  • Build and optimize LLM orchestration pipelines, prompt engineering strategies, and AI evaluation frameworks to ensure quality, reliability, and performance.
  • Architect and implement vector search and retrieval systems using Azure AI Search, Pinecone, Chroma, Weaviate, or similar technologies.
  • Develop scalable, production-grade data pipelines using Python and PySpark, including feature engineering and distributed data processing.
  • Build, train, and optimize Machine Learning, Deep Learning, and NLP models, and manage their lifecycle using Azure Machine Learning.
  • Own API development and model deployment, applying MLOps best practices including CI/CD, monitoring, and observability.
  • Implement Responsible AI, AI Governance, and explainability practices to ensure ethical, transparent, and compliant AI systems.
  • Collaborate with cross-functional teams (data engineering, product, and business stakeholders) to translate requirements into scalable AI solutions.
  • Stay current with emerging GenAI/Agentic AI frameworks and evaluate their applicability to business use cases.

Must-Have Skills

  • Strong programming expertise in Python and PySpark
  • Hands-on experience with LLMs, RAG, Agentic AI, and Generative AI application development
  • Strong experience with Azure OpenAI Service and the Azure AI ecosystem
  • Experience building end-to-end AI solutions using Azure Machine Learning
  • Knowledge of Prompt Engineering, LLM orchestration, and AI evaluation frameworks
  • Experience with Vector Databases (Azure AI Search, Pinecone, Chroma, Weaviate, etc.)Expertise in Machine Learning, Deep Learning, NLP, and model optimization
  • Experience building scalable data pipelines, feature engineering, and distributed data processing
  • Experience with API development, model deployment, MLOps, monitoring, and CI/CD
  • Strong understanding of Responsible AI, AI Governance, and model explainability

Nice-to-Have Skills

  • Experience with AI frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI
  • Hands-on experience with Databricks, Azure Data Factory, Synapse Analytics
  • Experience with Docker, Kubernetes, and cloud-native architectures
  • Knowledge of multi-agent systems, AI observability, and LLM fine-tuning
  • Experience building conversational AI, copilots, and enterprise AI solutions
  • Exposure to Financial Services / Capital Markets use cases
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