Senior AI/ML Engineer

TRINITY CONSULTING SERVICES PTE. LTD.; Singapore; On-site; SGD 85,000 - 110,000; Full time

Job summary

A leading consultancy in Singapore is seeking an experienced AI Engineer with a degree in AI/ML or Data Science. The ideal candidate will have at least 8 years of experience in software development and data science, including 3 years in AI engineering roles. Responsibilities include designing and developing AI models, managing end-to-end ML lifecycle, and communicating technical concepts to stakeholders. Proficiency in Python and familiarity with AI governance is essential for success in this role.

Qualifications

• 8+ years of experience in software development, data science, and ML.
• At least 3+ years in AI engineering roles.
• Proven experience in end-to-end ML lifecycle.
• Strong understanding of AI governance and regulatory requirements.

Responsibilities

• Design and develop AI/ML models.
• Conduct data wrangling, model development, deployment, and monitoring.
• Communicate complex technical concepts to non-technical stakeholders.

Skills

Python programming

AI/ML knowledge

Data Science libraries (pandas, scikit-learn)

ML lifecycle

NoSQL databases

MLOps tools (MLflow, Airflow)

Cloud platforms (GCP, AWS)

CI/CD pipelines

Containerization (Docker, Kubernetes)

Education

Degree or master's degree in AI/ML or Data Science

Tools

TensorFlow

PyTorch

Langchain

LangGraph

vLLM

LMDeploy

Kubeflow

Job description

·Have 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 the 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 equirements in AI.

·Ability to communicate technical concepts to non-technical stakeholders.