Vision AI Engineer
Cybersecurity
Singapore, All Areas
Published 22 hours ago
Salary: Disclosed upon interview
- Global Companies
- ML / AI Engineering & Research
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Lead Machine Learning Engineer (Fulfilment)
Full time - Principal Engineer
Retail & Ecommerce
Singapore, All Areas
Published 2 weeks ago
Salary: Disclosed upon interview
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Job Description
The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.
Company Overview
A leading technology-driven organization is seeking a Lead Machine Learning Engineer to advance its fulfilment and recommendation systems. The company focuses on integrating state-of-the-art AI and machine learning solutions into real-world applications, supporting business operations with scalable, high-impact models and intelligent systems.
Summary
The Lead Machine Learning Engineer will design, develop, and implement advanced machine learning models, with a focus on deep learning, LLMs, and reinforcement learning. This role requires both research expertise and engineering skills to transform complex business problems into production-ready ML/AI solutions.
Responsibilities
- Develop and integrate sophisticated machine learning models, including Transformer architectures, LLMs, and reinforcement learning frameworks, to solve real-world business challenges
- Implement and enhance LLM post-training pipelines such as SFT, RL, and RLHF
- Model behavioural patterns for complex recommender systems and statistical models, including discrete choice modelling (e.g., Mixed Logit for utility maximisation)
- Build high-quality research prototypes and scalable production systems using Python and deep learning frameworks (PyTorch, Jax, TensorFlow)
- Design, develop, and productionize ML pipelines using modern tools such as Airflow and MLFlow
- Work with big data frameworks like Spark for handling large-scale datasets
- Apply software engineering best practices, including writing readable, maintainable, and testable code
- Translate business problems into ML/AI project specifications and solutions
Qualifications
- Minimum 2 years of deep learning research experience, particularly in LLMs, and at least 2 years of industry experience building complex ML services as a core contributor
- Strong expertise in Python and deep learning frameworks (PyTorch, Jax, TensorFlow)
- Experience with reinforcement learning, post-training LLM pipelines, and recommender system modeling
- Knowledge of statistical and discrete choice models (e.g., Mixed Logit)
- Hands-on experience with ML pipeline development and productionization using Airflow, MLFlow, or similar technologies
- Familiarity with big data frameworks such as Spark
- Excellent problem-solving, analytical, and collaboration skills
Disclaimer
SpringCube curates tech job listings from various company websites to support tech professionals in Singapore.
1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
2. No Client Relationship: This company is not a client of SpringCube unless stated.
3. To Apply: Click the “Apply” button to be redirected to the hiring company’s application page for this job.
4. No Liability: SpringCube is not liable for inaccuracies.
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