Gen AI Engineer

SAGL CONSULTING PTE. LTD.; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

A leading consulting firm in Singapore is seeking an experienced professional to lead the design and development of advanced machine learning models. The ideal candidate will have 5–10 years of experience in AI solutions and a strong track record of deploying models in production environments. Expertise in Python and ML frameworks such as TensorFlow and PyTorch is essential. This role involves collaborating with cross-functional teams and mentoring junior members while driving full model lifecycles and optimizing AI systems for performance and reliability.

Qualifications

• 5–10 years of hands-on experience in machine learning and AI solution development.
• At least 3+ years working on models in production environments.
• Strong track record of building, deploying, and maintaining ML systems at scale.

Responsibilities

• Lead the design and development of advanced machine learning and deep learning models.
• Collaborate cross-functionally with data scientists and product managers.
• Drive the full model lifecycle from data preprocessing to deployment.

Skills

Machine Learning

Deep Learning

Python

TensorFlow

PyTorch

Cloud Platforms

MLOps

Data Engineering

Education

Bachelor’s or Master’s in Computer Science, Data Science, AI, Engineering, or related fields

Tools

Docker

Kubernetes

Git

CI/CD

Airflow

Kafka

Job description

Main Responsibilities

• Lead the design and development of advanced machine learning and deep learning models for real-world business applications.
• Collaborate cross-functionally with data scientists, product managers, and software engineers to identify, define, and implement AI use cases.
• Drive the full model lifecycle: from data preprocessing and feature engineering to training, tuning, and production deployment.
• Architect and implement robust MLOps pipelines, including CI/CD workflows, model versioning, monitoring, and automated retraining.
• Mentor junior team members and contribute to best practices across the AI/ML function.
• Continuously optimize and scale AI systems for performance, reliability, and cost-efficiency in production environments.
• Stay ahead of the curve by exploring new research, frameworks, and tools in AI/ML, and proactively propose innovative applications.
• Contribute to architectural decisions around data and ML infrastructure.

Job Requirements

Academic Qualifications:

• Bachelor’s or Master’s in Computer Science, Data Science, AI, Engineering, or related fields

Experience & Technical Skills:

• 5–10 years of hands-on experience in machine learning and AI solution development, with at least 3+ years working on models in production environments.
• Strong track record of building, deploying, and maintaining ML systems at scale.
• Expert-level Python skills and deep familiarity with ML/DL frameworks such as TensorFlow, PyTorch, Scikit-learn.
• Solid grasp of machine learning algorithms, data engineering workflows, and software development best practices.
• Experience working with cloud platforms (AWS, GCP, Azure) for training, experimentation, and deployment of ML models.
• Hands-on experience with MLOps tools and practices: Docker, Kubernetes, Git, CI/CD, model monitoring.
• Strong understanding of data pipelines, including use of orchestration tools (e.g., Airflow, Kafka).