Role-AI Data Engineer
Location: Milwaukee, WI 53201..Full Onsite
Must Haves:
- Bachelor's Degree and 2 years exp.
- Exp. w/ Machine Learning, analysis, and modeling of large scale and complex data sets in Industry scenarios.
- Proficient in Cognitive analytics like text analytics, image recognition, video analytics etc
- Python, PySpark, R, SQL, etc. and tools like Databricks, Azure ML and Azure Cognitive Services (at least 2)
- Knowledge of DevOps workflows, Git, containers, CI/CD, etc
Skills and experiences:
- Demonstrable professional experience with applying Machine Learning, analysis, and modeling of large scale and complex data sets in Industry scenarios.
- Highly skilled in statistical analysis, quantitative analytics, forecasting/predictive analytics, simulation and optimization algorithms.
- Proficient in one or more statistical modeling tools and Cognitive analytics like text analytics, image recognition, video analytics etc.- proficient in model identification by use case/industry and knowledge of applying models to enterprise use cases.
- Highly proficient with two or more languages, such as Python, PySpark, R, SQL, etc. and tools like Databricks, Azure ML and Azure Cognitive Services
- Software engineering experience using DevOps principals (Knowledge of DevOps workflows, Git, containers, CICD, etc.)
- Good communication and presentation skills. Able to explain complex analytical methodologies and concepts in non-technical language to audiences at multiple skill levels.
- Bonus Skills: Preference for prior experience working with Azure or cloud-based technologies such as AWS or GCP but not required.