Top France Bank | AI ENGINEER | AI & ML SOLUTIONS | INNOVATIVE DIGITAL TRANSFORMATION | GLOBAL PROJECTS

We are seeking a highly skilled and proactive Machine Learning / AI Engineer to join a dynamic team working on innovative, global AI projects. The ideal candidate will have extensive experience in designing, building, and deploying end-to-end machine learning solutions, particularly in Traditional ML and GenAI models. This hands-on role involves creating scalable, production-grade ML systems, ensuring compliance with AI governance standards, and collaborating with cross-functional teams to drive AI advancements. The position offers autonomy, the opportunity to work on cutting-edge technologies, and exposure to impactful, international projects.

📍Location: Nearest MRT (Tanjong Pagar)

🕒 Working Hours: Mon–Fri, Office Hours

💰 Salary: Up to $10K/month

🗓 Start Date: Jan 2026

📅 Duration: Permanent

Job Scope:

• AI & ML Solutions: Design, build, and deploy end-to-end machine learning models for global projects, utilizing both traditional ML and GenAI techniques (e.g., LLMs).

• Collaborate & Innovate: Work closely with business stakeholders to understand AI use cases and define AI solutions, driving Proof of Concept (PoC) initiatives.

• Engineer & Deploy Models: Build scalable, production-grade ML systems and deploy them using MLOps best practices (model versioning, monitoring, CI/CD).

• Data Engineering: Develop data pipelines, ensure model scalability and maintainability, and automate data exploration and feature engineering processes.

• Compliance & Standards: Ensure adherence to AI governance, regulatory standards, and internal compliance protocols while working with stakeholders across the business.

Main Responsibilities:

• Lead the development and deployment of ML models into production using tools like MLflow, Airflow, Kubeflow, etc.

• Collaborate with CloudOps, DevOps, IT, and security teams to integrate ML solutions across platforms.

• Document model performance, governance checkpoints, and risk assessments for AI solutions.

• Work on automating model retraining and monitoring performance for long-term optimization.

• Conduct research on emerging ML technologies and implement them into scalable solutions.

Requirements:

• Mandatory:

  • Degree or Master’s in AI, ML, or Data Science with a proven track record in designing and developing ML models.

  • 8+ years of experience in software development, data science, and ML, with at least 3+ years in AI engineering.

  • Expertise in end-to-end ML lifecycle, including model development, deployment, and monitoring.

  • Strong proficiency in Python with knowledge of ML libraries (Pandas, scikit-learn, TensorFlow, PyTorch, etc.).

  • Familiarity with NoSQL databases (experience in Graph databases is a plus).

  • Proven experience with MLOps tools (e.g., MLflow, Kubeflow) and CI/CD pipelines (Docker, Kubernetes).

  • Understanding of AI governance, model risk management, and regulatory compliance.

• Preferred Skills:

  • Experience with Responsible AI frameworks and bias/fairness testing.

  • Exposure to feature stores, model registries, and data versioning.

  • Knowledge in specialized industries (e.g., banking, healthcare) and data privacy standards.

👉 Apply via MyCareersFuture today!
 Only shortlisted candidates will be contacted.

We regret to inform that only shortlisted candidates will be informed.

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Int Ref: JL - JO 27675

XJL

(Reg No.: R25159057)

BGC Group Pte Ltd (Outsourcing)

EA 05C3053