Senior AI/ML Engineer - LLMs, MLOps & Enterprise AI

Tech Aalto Pte Ltd; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Tech Aalto Pte Ltd in Singapore is seeking a senior ML/AI engineer with 5+ years hands-on experience to design, build and deploy production ML/AI solutions, including LLM-enabled systems beyond prototype stage.

You will integrate AI/ML with enterprise data platforms and cloud services, implement robust testing, observability, and governance, and lead AI projects from data to deployment in a fast-paced environment.

Qualifications

• Degree in Computer Science, AI, Data Science, Software Engineering, Information Systems or related discipline.
• 5+ years hands-on experience building and deploying ML/AI applications including at least one LLM-enabled system.
• Strong Python software engineering with API development, testing, version control and modular design.
• Experience with LLM apps, retrieval, tool use, workflow orchestration or multi-agent frameworks.
• Experience integrating AI/ML with enterprise data platforms, databases, APIs or cloud services.
• Ability to design evaluation frameworks for AI systems, including testing, benchmarking, observability and reproducibility.
• Knowledge of AI governance, security and Responsible AI with human-in-the-loop controls.
• Experience delivering fraud detection, risk, compliance, investigation or decision support solutions.
• Experience with knowledge retrieval, RAG, graph-based workflows, prompt management, model evaluation tooling or AI observability platforms.

Skills

Python engineering

LLM applications

AI governance

Observability

Problem solving

Education

Degree in Computer Science or related field

Tools

Docker

MLflow

GitHub Actions

Jenkins

PySpark

Databricks

AWS Bedrock

Redshift

Glue

S3

Lambda

LangGraph

CrewAI

Job description

Tech Aalto Pte Ltd in Singapore is seeking a senior ML/AI engineer with 5+ years hands-on experience to design, build and deploy production ML/AI solutions, including LLM-enabled systems beyond prototype stage.

You will integrate AI/ML with enterprise data platforms and cloud services, implement robust testing, observability, and governance, and lead AI projects from data to deployment in a fast-paced environment.