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
• Univariate and multivariate Linear models, machine learning and deep learning models.
• Machine learning Operations (MLOps):
• Exploratory data analysis (EDA)
• Data Prep and Feature Engineering
• Model training and tuning
• Model review and governance
• Model inference and serving
• Model monitoring
• Automated model retraining
Licence No: 12C6060
