Senior Machine Learning / Deep Learning Engineer

MARS CONSULTING PTE. LTD.; Singapore; Remote; SGD 80,000 - 100,000; Full time

Job summary

A tech-driven consulting firm in Singapore is seeking a Machine Learning Engineer to take full ownership of ML systems. You will build scalable solutions to improve AI-driven creative optimization. The ideal candidate has over 5 years of experience in ML engineering, strong Python skills, and expertise in deploying ML models. This is a remote position that promotes collaboration across teams.

Qualifications

• 5+ years of experience in ML engineering or applied AI roles.
• Strong Python engineering skills — clean, maintainable, production-grade code.
• Solid understanding of ML fundamentals and deep learning architectures.
• Proven track record deploying ML models in production environments.
• Experience with MLOps tools (experiment tracking, containerization, CI/CD, cloud).
• Hands-on experience with AWS, GCP, or Azure.

Responsibilities

• Translate product and business challenges into ML solutions and measurable success metrics.
• Build and maintain high-quality datasets, ETL processes, and feature pipelines.
• Design, train, evaluate, and iterate on ML and deep learning models.
• Deploy and productionize ML systems (APIs, batch jobs) with monitoring & CI/CD.
• Collaborate across product, engineering, and design teams to ship quickly and efficiently.
• Ensure model reliability, efficiency, and real-world performance at scale.

Skills

ML engineering experience

Python programming

ML fundamentals

Deep learning architectures

MLOps tools

AWS

GCP

Azure

Job description

AI-powered ad creative workflow platform, who can take full ownership of ML systems — from ideation and data pipelines to model development, deployment, and monitoring. You will build scalable ML solutions that deliver measurable business impact and help shape the future of AI-driven creative optimization.

Location: remote

Key Responsibilities

• Translate product and business challenges into ML solutions and measurable success metrics
• Build and maintain high-quality datasets, ETL processes, and feature pipelines
• Design, train, evaluate, and iterate on ML and deep learning models
• Deploy and productionize ML systems (APIs, batch jobs) with monitoring & CI/CD
• Collaborate across product, engineering, and design teams to ship quickly and efficiently
• Ensure model reliability, efficiency, and real-world performance at scale

Required Qualifications

• 5+ years of experience in ML engineering or applied AI roles
• Strong Python engineering skills — clean, maintainable, production-grade code
• Solid understanding of ML fundamentals and deep learning architectures
• Proven track record deploying ML models in production environments
• Experience with MLOps tools (experiment tracking, containerization, CI/CD, cloud)
• Hands-on experience with AWS, GCP, or Azure

Preferred Skills

• Strong product intuition — ability to balance speed vs. accuracy and MVP thinking
• Experience with LLMs (prompting, RAG, fine-tuning, distillation, inference optimization)
• Advertising tech or performance marketing ML experience (creative optimization, ranking systems, bidding, attribution modeling)