Research Engineer

3 days ago

Singapore Tan Tock Seng Hospital Full time

-Family Group: Administration

**About the job**

**Job Title**:Research Engineer (Machine Learning / Deep Learning)

**Roles & Responsibilities**
- Design and develop ML systems: Create scalable machine learning systems tailored to clinical problems.
- Adapt standard machine learning methods to optimally utilize modern parallel environments (e.g. distributed clusters, multicore SMP and GPU)
- Re-evaluate the trade-offs of already delivered features/ML systems and be able to drive large efforts across multiple teams to reduce technical debt by starting from first principles where appropriate
- Test and evaluate: conduct experiments to evaluate model performance, perform A/B testing and iteratively improve model accuracy.
- Develop highly scalable classifiers and tools that utilize machine learning, data regression and rule-based models
- Propose, gather and summarize requirements and create an effective feature roadmap
- Deliver data science code in collaboration with the clinical team
- Support the Principal Investigator (PI) in all software coding work required for the primary objective.
- Create and compile all technical specifications, flowcharts, architectures and code descriptions.

**Required Skills and Qualifications**
- Education: Bachelor’s in computer science, mathematics, statistics data science, artificial intelligence, or a related field.
- Familiarity with Python development environments, machine learning and machine vision.
- Prior experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or a related technical field.
- Programming skills: Very strong knowledge of programming languages such as Python or R.
- Framework knowledge: Familiarity with machine learning libraries such as TensorFlow, Keras, PyTorch or scikit-learn.
- Analytical skills: Strong problem-solving skills with a solid understanding of algorithms, statistics and probability.
- Communication Skills: Excellent verbal and written communication skills to make technical concepts understandable to non-technical stakeholders.
- Familiarity with the development of RESTful APIs and database management (NoSQL/RDBMS).
- A high level of confidence in dealing with ambiguity in early stage research projects.
- Good communication skills and ability to work independently.

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