Senior Machine Learning Engineer

Avomind; Singapore; On-site; SGD 150,000 - 190,000; Full time

Job summary

Avomind in Singapore is seeking a Senior Machine Learning Engineer to design and build production-grade ML systems powering its AI platform. You will own critical components from development to production deployment, working closely with research, product, and engineering teams.

The role emphasizes translating research into scalable, reliable solutions, tackling latency, scalability, and cost considerations in real-world environments, while mentoring fellow engineers.

Qualifications

• Proven experience building and deploying production ML systems used by real users.
• Strong understanding of modern ML models, including their behavior, limitations and failure modes in production environments.
• Excellent software engineering skills to develop robust, production-quality systems.
• Experience designing and implementing scalable ML pipelines and infrastructure.
• Ownership mindset to independently solve complex technical challenges from concept through deployment.
• Strong problem-solving, communication, and collaboration within cross-functional teams.
• Ability to iterate quickly and improve ML systems based on production feedback.

Responsibilities

• Build and develop core machine learning systems that power AI-driven product capabilities.
• Own the end-to-end machine learning lifecycle, including data preparation, model training, evaluation, inference, deployment, and continuous iteration.
• Translate research concepts into reliable, production-ready machine learning solutions.
• Investigate and resolve model performance issues and production system failures using real-world operational insights.
• Continuously improve machine learning systems through rapid experimentation, measurement, and iteration.
• Collaborate closely with research, product, and engineering teams to deliver impactful AI features.
• Provide technical guidance through code reviews, best practices, and mentorship of fellow machine learning engineers.
• Develop solutions that balance real-world production requirements, including latency, scalability, cost efficiency, reliability, and safety.

Skills

Ownership mindset

Problem-solving

Communication

Collaboration

Tools

Python

PyTorch

JAX

Job description

About the Company

Our client is a stealth AI startup backed by one of Southeast Asia's leading technology companies and is currently building its global founding team.

The company is developing an AI-native communication platform designed to simplify everyday tasks by integrating AI directly into conversations. Instead of switching between multiple applications, users can plan, organize, compare, research, and complete tasks within a single intelligent assistant.

Serving a market of billions of users still relying on traditional productivity tools, the platform focuses on delivering reliable AI workflows, persistent context, multi-step reasoning, and seamless task execution. The mission is to create an AI assistant that significantly improves productivity while making everyday work simpler and more intuitive.

About the Role

Our client is seeking a Senior Machine Learning Engineer to design and build production-grade machine learning systems that power its AI platform. This is a hands-on technical role focused on solving complex machine learning challenges, translating research into scalable solutions, and delivering reliable AI systems that operate effectively in real-world environments.

Working closely with research, product, and engineering teams, this position will independently own critical machine learning components from development through production deployment.

Key Responsibilities

• Build and develop core machine learning systems that power AI-driven product capabilities.


• Own the end-to-end machine learning lifecycle, including data preparation, model training, evaluation, inference, deployment, and continuous iteration.


• Translate research concepts into reliable, production-ready machine learning solutions.


• Investigate and resolve model performance issues and production system failures using real-world operational insights.


• Continuously improve machine learning systems through rapid experimentation, measurement, and iteration.


• Collaborate closely with research, product, and engineering teams to deliver impactful AI features.


• Provide technical guidance through code reviews, best practices, and mentorship of fellow machine learning engineers.


• Develop solutions that balance real-world production requirements, including latency, scalability, cost efficiency, reliability, and safety.

Requirements

• Proven experience building and deploying production machine learning systems used by real users.


• Strong understanding of modern machine learning models, including their behavior, limitations, and failure modes in production environments.


• Excellent software engineering skills with the ability to develop robust, maintainable, production-quality systems.


• Experience designing and implementing scalable machine learning pipelines and infrastructure.


• Strong ownership mindset with the ability to independently solve complex technical challenges from concept through deployment.


• Excellent problem-solving, communication, and collaboration skills within cross-functional engineering teams.


• Demonstrated ability to iterate quickly and continuously improve machine learning systems based on production feedback.

Preferred Technical Skills

Experience with the following technologies is preferred:

• Python


• PyTorch and/or JAX


• GPU-based training and inference systems