AI/ML Data Scientist with MLOps and AWS Expertise
Summary
Build and deploy AI/ML models end-to-end using deep learning and MLOps on AWS, handling data engineering and optimization tasks.
Qualifications
- High proficiency in problem-solving for data science (e.g., with MECE, root cause analysis, etc.).
- Familiarity with MLOps as a framework, with strong experience of end-to-end model development and deployment in the cloud (e.g., AWS).
- Seasoned in the theory and execution of deep learning algorithms and architectures, AI Engineering, optimization, statistical modelling, and multi-criteria decision analysis.
- Experience with data engineering for data science (e.g., ELT concepts, structured table transformation experience, database technologies, etc.).