AI/ML Senior Engineer

APAR TECHNOLOGIES PTE. LTD.; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

A leading technology solutions provider in Singapore is seeking an experienced AI Engineer with over 8 years in software development and data science. You will design and develop models, working with ML lifecycle processes. Strong programming skills in Python and familiarity with MLOps tools are crucial. This role requires excellent communication skills and an ability to convey technical details to non-technical stakeholders, while knowledge of AI governance is preferred.

Qualifications

• 8+ years of experience in software development, data science, and ML.
• 3+ years in AI engineering roles.
• Experience in end-to-end ML lifecycle: data wrangling, model development, deployment, and monitoring.

Skills

Python

AI/ML Libraries

MLOps Tools

NoSQL databases

AI governance

Communication

Education

Degree or Master's in AI/ML and Data Science

Tools

MLflow

Airflow

Kubeflow

Docker

Kubernetes

GCP

AWS

Job description

Mandatory:

• Had degree or master's degree in the field of AI / ML and data science with proven ability to design and develop models
• 8+ years of experience in software development, data science and ML, with at least 3+ years in AI engineering roles.
• Proven experience in end-to-end ML lifecycle: data wrangling, model development, deployment, and monitoring.
• Strong programming skills in Python with solid knowledge of AI/ML, including LLMs and data science libraries like pandas, scikit-learn, TensorFlow/PyTorch, etc.
• Experience with LLM Orchestration frameworks like Langchain, LangGraph, vLLM, LMDeploy.
• Strong knowledge in NoSQL databases (any experience in Graph database is desirable)
• Experience with MLOps tools: MLflow, Airflow, Kubeflow, or similar.
• Familiarity with either of cloud platforms (GCP, AWS) for AI Solutioning and ML deployment.
• Knowledge of data science techniques including supervised/unsupervised learning, NLP, time series, etc.
• Experience with CI/CD pipelines and containerization (Docker, Kubernetes).
• Strong understanding of AI governance, model risk management, and regulatory requirements in AI.
• Ability to communicate technical concepts to non-technical stakeholders.

Preferred skills:

• Experience with Responsible AI frameworks and bias/fairness testing.
• Exposure to feature stores, model registries, and data versioning.
• Knowledge of data privacy, anonymization, and compliance in regulated industries (e.g., banking, healthcare).

Other Professional Skills and Mind-set

• Ability and willingness to learn and adopt new technologies
• Strong organizational and communication skills
• Strong analytical and problem solving skills
• Awareness of various software development procedures
• Ability to follow defined procedures
• Understanding and respect of cultural diversity