AI ML Engineer

TECH AALTO PTE. LTD.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Tech Aalto Pte Ltd is seeking a senior AI/ML engineer to design, deploy and scale AI-enabled solutions in a production environment in Singapore. You will lead development of Python-based APIs, implement robust MLOps practices, and integrate with enterprise data platforms and cloud services.

Strong governance and observability are essential for responsible AI delivery. The role requires at least 5 years of hands-on ML/AI experience, including LLM-enabled deployments beyond prototypes, and

Qualifications

• Degree in Computer Science or related technical discipline.
• 5 years hands-on experience building and deploying ML/AI apps, incl. production LLM-enabled systems.

Skills

Python development

ML/AI deployment

LLM-enabled systems

LLM applications & tools

AI governance & Responsible AI

Cloud services (AWS)

Data processing pipelines

MLOps & CI/CD

Observability & testing

Fraud/risk/compliance solutions

Knowledge retrieval & RAG

Education

Bachelor's degree in CS/AI/DS/SE or related discipline

Tools

AWS Bedrock

Redshift

Glue

S3

Lambda

PySpark

Databricks

Docker

MLflow

GitHub Actions

Jenkins

Job description

Education: Degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, Information Systems or a related technical discipline.

Experience: 5 years of hands-on experience building and deploying ML/AI applications. This must include at least one LLM-enabled system delivered beyond prototype into operational use.

Technical & Professional Competencies

• Strong Python software engineering capability, including API development, testing, version control and modular system design.
• Hands-on experience building and deploying ML/AI applications, including at least one LLM-enabled or agentic AI solution beyond proof-of-concept stage.
• Experience with LLM applications, retrieval, tool use, workflow orchestration or multi-agent frameworks such as LangGraph, CrewAI or equivalent.
• Experience integrating AI/ML solutions with enterprise data platforms, databases, APIs or cloud services.
• Ability to design and implement systematic evaluation frameworks for AI systems, including testing, benchmarking, observability and reproducibility.
• Working knowledge of AI governance, security and Responsible AI practices, including human-in-the-loop controls, access management, auditability and safeguards against misuse.
• Strong problem-solving and analytical skills, with the ability to translate business requirements into scalable AI-enabled solutions. Preferred (Advantageous)
• Experience with AWS services such as Bedrock, Redshift, Glue, S3, Lambda or related cloud-native services.
• Experience with PySpark, Databricks or large-scale data processing and feature engineering pipelines.
• Experience with CI/CD, containerisation, MLOps or model deployment tooling (e.g. Docker, MLflow, GitHub Actions, Jenkins).
• Experience implementing monitoring, observability and operational support processes for ML/AI applications.
• 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.

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Confidentiality is assured,and only shortlisted candidates will be notified for interviews.

Tech Aalto Pte Ltd | 24S2130 EA | Pushpanjli Kir | R1657306.