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- Design and conduct experiments to evaluate emerging SDG models (e.g.,DDPM, ARF, Gaussian Copula)
- Investigate failure cases (e.g., when models fail with certain data types, size, or cardinality)
- Tune hyperparameters, refine architectures, and propose new modeling strategies
- Collaborate with software engineers to build product features that require ML/DS input (e.g., imputation methods, handling of constraints, preprocessing pipelines)
- Recommend and develop suitable approaches for features like single-/multi-column constraints, imputation strategies, and privacy metrics
- Work directly with users and the engineering team to diagnose user issues with training failures, poor outputs, or integration challenges
- Provide actionable fixes and communicate technical insights in a user-friendly way
- Write user-facing documentation pages. This could include explaining model choice, hyperparameters, and utility/privacy metrics in a user-friendly manner
- Translate complex technical Data Science concepts into clear, approachable explanations
- Work closely with the SWE team (Next.js, FastAPI, AWS) to integrate the generation engine into production-ready systems
- Participate in Agile rituals, code reviews, and design discussions
- Bachelor's degree or higher in Computer Science, Data Science, Business Analytics or a related field, with at least 5 years of relevant professional experience
- Strong foundation in machine learning, with hands-on experience in model development and experimentation
- Strong programming proficiency in Python and experience with ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn)
- Ability to analyze model behaviour, diagnose training issues, and design experiments to improve performance
- Familiarity with reading, synthesizing, and ability to translate emerging research into practical prototypes
- Working knowledge of backend development (REST APIs, FastAPI, Flask, or similar)
- Comfortable working with cloud environments (AWS preferred)
- Ability to debug and fix software-level issues when they affect ML workflows
- Familiarity with Git, CI/CD, and collaborative coding best practices
- Experience with privacy-enhancing technologies, anonymisation, synthetic data generation or differential privacy
- Familiarity with frontend integration workflows (Next.js/React)
- Prior experience working in multi-disciplinary product teams
- Curiosity and willingness to learn new domains (esp. data privacy)
- Strong communication skills to explain technical concepts to both engineers and non-technical stakeholders
- Inclination to work in a collaborative, fast-moving Agile environment
Key Skills
Ranked by relevance
fastapi
aws
machine learning
tensorflow
pytorch
python
flask
cloud
cicd
git
esp
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- Posted
- Nov 10, 2025
- Type
- Contract
- Level
- Mid-Senior
- Location
- Singapore
- Company
- Unison Group
Industries
IT Services
IT Consulting
Categories
Information Technology
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3 roles aligned with this opportunity
View Job Details
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2026-05-21
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View Job Details
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