AI - ML Engineer (Contract)

3 CUBED BUSINESS CONSULTING PTE. LTD.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

3 CUBED BUSINESS CONSULTING PTE. LTD. is seeking an experienced AI/ML engineer to design, develop, and deploy production-grade GenAI, RAG, and Agentic AI solutions on Azure cloud platforms. You will own end-to-end AI pipelines, model orchestration, deployment, and operations, working across data, ML engineering, and software teams.

The ideal candidate has 8+ years in AI/ML, strong skills in Python, cloud AI services, and a proven track record building scalable enterprise AI applications on Azure.

Qualifications

• Strong experience designing, developing, and deploying production-grade GenAI, RAG, and Agentic AI solutions on Azure.
• Strong full-stack AI engineering experience across model development, orchestration, deployment, and operations.

Skills

Python

PySpark

Generative AI

Azure OpenAI

Azure Machine Learning

Prompt Engineering

LLM orchestration

AI evaluation

Vector Databases

Machine Learning

Deep Learning

NLP

Feature engineering

Data pipelines

Distributed processing

API development

Model deployment

MLOps

Monitoring

CI/CD

Responsible AI

AI Governance

Model explainability

Job description

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 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
• 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

Ideal Profile

8+ years of experience in AI/ML engineering with proven expertise in designing, developing, and deploying production-grade GenAI, RAG, and Agentic AI solutions on Azure cloud platforms. Strong full-stack AI engineering experience across model development, orchestration, deployment, and operations.