Applied Machine Learning Engineer, Singapore
Singapore • FullTime
Posted 1mo ago
Job Location
Singapore
Tech Stack
Remote Work Policy
On-site
Employment Type
FullTime
Categories
Machine Learning Engineer
About the job
As an Applied Machine Learning Engineer, you will serve as a vital bridge between cutting-edge AI research and practical, real-world applications. Your work will focus on developing, fine-tuning, and operationalizing machine learning models that drive business value and enhance user experiences. This is a hands-on engineering role that combines deep technical expertise with a strong customer focus to deliver scalable AI solutions.
Responsibilities
- Collaborate with GTM teams to ensure smooth integration and successful deployment of ML solutions.
- Build and present compelling Proofs of Concept (PoCs) demonstrating AI capabilities.
- Design, develop, and deploy end-to-end AI-powered applications tailored to customer needs.
- Contribute to the internal ML platform by adding features and resolving issues.
- Integrate and enable new machine learning models into the platform or client environments.
- Improve system performance, efficiency, and scalability of deployed models and applications.
- Work with partners to enable joint AI solutions and ensure seamless collaboration.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related technical field.
- 5+ years of experience in a software engineering role, preferably customer-facing.
- Robust coding skills, preferably in Python.
- Demonstrated ability to lead and execute complex technical projects with a customer success focus.
- Strong interpersonal and communication skills.
- Ability to thrive in dynamic, cross-functional teams.
- Master’s degree in Computer Science, Engineering, or a related technical field (preferred).
- Experience in a startup or fast-paced environment (preferred).
- Hands-on experience fine-tuning machine learning models, including SFT and RLHF/RFT (preferred).
- Solid understanding of generative AI, machine learning principles, and enterprise infrastructure (preferred).
Benefits
- Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure.
- Build What’s Next: Work with bleeding-edge technology.
- Ownership & Impact: Join a fast-growing team where your work directly shapes the future of AI.
- Learn from the Best: Collaborate with world-class engineers and AI researchers.