Implement Proof of Concept and Pilot machine learning solutions using AWS ML toolkit and SaaS platforms
- Configure and optimize pre-built ML models for specific business requirements
- Set up automated data pipelines leveraging AWS services and third-party tools
- Create dashboards and visualizations to communicate insights to stakeholders
- Document technical processes and knowledge transfer for future maintenance
Requirements
- Bachelor’s degree in computer science, Data Science, or related field
- 1-3 years of professional experience implementing machine learning solutions.
-We can entertain someone who is fresh graduate with significant work in AI in either internship or projects
- Demonstrated experience with AWS machine learning services (SageMaker, AWS ML Services, and understanding of underpinnings of ML models and evaluations.)
- Proficiency with data science SaaS tools (Dataiku, Indico, H2O.ai, or similar platforms)
- Working knowledge of AWS data engineering services (S3, Glue, Athena, Lambda)
- Experience with Python and common data manipulation libraries
- Strong problem-solving skills and ability to work independently
Preferred Qualifications
- Previous contract or work experience in similar roles
- Familiarity with API integration between various platforms
- Experience with BI tools (Power BI, QuickSight)
- Knowledge of cost optimization techniques for AWS ML services
- Prior experience in our industry (please see company overview)