Job Role: - Data Scientist with Software Engineering
Job Location: - Singapore
Experience: - 2-3 Years
Roles and Responsibilities:- Design, develop, and experiment with machine learning models, particularly for data generation and privacy-focused applications.
- Conduct model evaluation, performance tuning, and troubleshooting for diverse data types and scenarios.
- Collaborate with software engineering teams to develop and integrate machine learning features into production-ready systems.
- Build and optimize data pipelines, preprocessing workflows, and privacy metrics.
- Diagnose and resolve issues related to model performance, integration, or user feedback.
- Document model designs, parameters, and evaluation methods in a clear and user-friendly manner.
- Participate in Agile development practices, including code reviews, sprint planning, and design discussions.
Skills and Requirements:- Bachelors degree or higher in Computer Science, Data Science, or a related field.
- 23 years of professional experience in data science, applied machine learning, or related areas.
- Strong programming skills in Python, with experience using ML frameworks such as PyTorch, TensorFlow, or scikit-learn.
- Understanding of backend development concepts (REST APIs, FastAPI, Flask, or similar).
- Familiarity with cloud platforms (e.g., AWS) and version control systems (Git).
- Strong analytical and problem-solving skills with the ability to design and evaluate experiments.
- Excellent communication skills to explain technical concepts to technical and non-technical audiences.
- Ability to work collaboratively in multidisciplinary and Agile environments.
