Vacancy expired!
- Work directly with Business domain experts and Data Scientists to understand the business objective and develop high quality, scalable analytical applications and data products
- Architect and implement frameworks and tools to streamline the machine learning process
- Perform exploratory data analysis and present findings and recommendations
- Automate manual data flows for repeated use and scalability
- Develop data-intensive applications with API's and streaming data pipelines
- Convert research-based machine learning models into production-ready software
- Implement data quality checks to ensure data accuracy, consistency, and reliability
- 7+ years of programming experience in Python and SQL
- Experience performing exploratory data analysis using common statistical methods
- Experience working with industrial IOT data and performing time series analysis
- Experience in testing, packaging, and deploying machine learning models
- Strong understanding of data structures and algorithms
- Expertise in software engineering practices such as Design Principles and Patterns, Unit Testing, Refactoring, CI/CD, and version control
- Knowledgeable of modern data platform technologies including Apache Airflow, Kubernetes, Distributed File Systems, and object storage
Vacancy expired!