Top France Bank | AI ENGINEER | AI & ML SOLUTIONS | INNOVATIVE DIGITAL TRANSFORMATION | GLOBAL [...]

BGC GROUP PTE. LTD.; Singapore; On-site; SGD 80,000 - 100,000; Full time

Job summary

A global technology firm based in Singapore is seeking a highly skilled Machine Learning / AI Engineer to join their dynamic team. The role involves designing, building, and deploying end-to-end machine learning solutions for international projects. Candidates should have over 8 years of experience in software development and a master’s degree in a relevant field. The position offers competitive compensation and the opportunity to work on cutting-edge technologies in a collaborative environment.

Qualifications

• 8+ years of experience in software development, data science, and machine learning.
• At least 3+ years in AI engineering.
• Expertise in end-to-end ML lifecycle.

Responsibilities

• Lead the development and deployment of ML models into production.
• Collaborate with Cross-functional teams to integrate ML solutions.
• Automate model retraining and performance monitoring.

Skills

Python

Machine Learning libraries (Pandas, scikit-learn, TensorFlow, PyTorch)

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

NoSQL databases

CI/CD pipelines (Docker, Kubernetes)

Education

Degree or Master’s in AI, ML, or Data Science

Tools

MLflow

Kubeflow

Airflow

Job description

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!
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Int Ref: JL - JO 27675

XJL

(Reg No.: R25159057)

BGC Group Pte Ltd (Outsourcing)

EA 05C3053