Responsibilities
• Develop, refine, and implement state-of-the-art algorithms for product research and development or solutions via ensemble or artificial intelligence model workflow.
• Build APIs to host models as a microservice / container
• Perform architectural/technical design, technical prototyping, development, and reviews
• of sophisticated data/algorithmic pipelines
• Communicate and negotiate technical/analytical solutions and architectural designs with diverse stakeholders
• Staying abreast of developments in data science
• Write Technical Documentation
Requirements
• Advanced degree in a quantitative discipline (e.g., statistics, computer science, applied mathematics, or similar) or equivalent practical experience with 5 years of industry experience.
• At least 3 years of experience working with Python, Pytorch and TensorFlow or relevant experience in data science team where the analytical solutions are deployed/integrated into mature production systems.
• Experience with
1. Univariate and multivariate Linear models, machine learning and deep learning models.
2. Machine learning Operations (MLOps):
3. Exploratory data analysis (EDA)
4. Data Prep and Feature Engineering
5. Model training and tuning
6. Model review and governance
7. Model inference and serving
8. Model monitoring
9. Automated model retraining
Licence No: 12C6060
