Senior AI/ML Engineer

ADECCO PERSONNEL PTE LTD; Singapore; On-site; SGD 90,000 - 120,000; Full time

Job summary

A leading financial institution in Singapore is seeking a Machine Learning/AI Engineer to handle transversal and international projects. The role involves collaborating with stakeholders, engineering ML models, and ensuring adherence to AI policies. Candidates must have substantial experience in AI engineering and strong programming skills in Python. A vibrant culture of innovation awaits, along with the hands-on opportunity to build production-grade ML systems. This is a fantastic opportunity to make a significant impact in the field of AI.

Qualifications

• 8+ years of experience in software development, data science, and ML, with 3+ years in AI engineering roles.
• Proven experience in end-to-end ML lifecycle: data wrangling, model development, deployment, and monitoring.
• Ability to communicate technical concepts to non-technical stakeholders.

Responsibilities

• Collaborate with business stakeholders to define AI solutions.
• Engineer and deploy ML models into production.
• Build and maintain data pipelines for scalability.

Skills

Python programming

Machine Learning lifecycle

MLOps tools (e.g., MLflow, Airflow)

Knowledge of AI governance

Experience with LLMs

Education

Degree or master's degree in AI/ML and data science

Tools

Docker

Kubernetes

TensorFlow

PyTorch

NoSQL databases

Job description

Job Summary

Adecco is partnering with one of the most well-established and respected financial institution with a strong track record of success. They have a culture of innovation and continuous improvement, constantly looking for ways to improve their services and offerings. Our client is looking for a Machine Learning/AI Engineer to handle transversal and international projects. Candidates would have the hands‑on opportunity to build models, build engineer scalable, production‑grade ML systems.

Main Responsibilities

• Collaborate with business stakeholders to understand use cases and define AI solution; work on Proof of Concepts wherever needed
• Engineer and deploy ML models into production using MLOps best practices (model versioning, monitoring, CI/CD, etc.).
• Build & maintain data pipelines and model performance for scalability and maintainability.
• Ensure all models adhere to organizational AI policies, responsible AI practices, and audit requirements.
• Support data exploration, feature engineering, and occasional model building where needed.
• Automate model retraining, testing, and monitoring to ensure performance over time.
• Document ML workflows, governance checkpoints, and risk assessments.
• Partner with various teams to integrate solutions into enterprise platforms.

Qualifications and Profile

Mandatory:

• 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 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).

Next Step

• Prepare your updated resume and expected package.
• Simply click on 'Apply here' or email to [e-mail] to drop your resume.
• All shortlisted candidates will be contacted.

Tamanna Bilandi

EA Licence No. 91C2918

Personnel Registration No. R2096241