Job Seekers, Please send resumes to resumes@hireitpeople.com
Must Have Skills
- A demonstrated ability to solve challenging business problems using a data science approach by developing novel and/or adapting existing computational methods
 - Minimum 6 years of relevant experience in applying machine learning, deploying ML models and monitoring/support.
 - Strong experience in Python, JupyterHub
 - Hands on experience in Azure ML
 - Model deployment and support
 - Strong skills in communicating and presenting data-derived insights to non-technical audiences appropriately.
 - A Masters or Ph.D. in Mathematics, Statistics, Computer Science, Operations Research, Engineering Science.
 
Expertise/Skills:
- Python Pandas, Numpy, Scikit learn – Expert level
 - Azure ML - Expert level
 - Machine Learning, Statistics– Expert level
 
Good to Have Skills:
- Data science experience in oil & gas industry will be an advantage
 - Experience in any other cloud platform
 - Exposure to databases like Oracle, SQL server
 - Experience in Visualization tools like PowerBI / Tableau
 
Responsibilities you would expect the Subcon to shoulder and execute*:
- Develop production ML pipelines if not available
 - Develop Model Monitoring scripts & dashboards
 - Develop automated alerts for issues in ML pipeline or model performance deviation
 - Perform Model Deployment in production environment (Azure)
 - Perform Model Refresh
 - Monitor Model Performance
 - Perform Model tuning
 - Tune monitoring scripts and reporting dashboards
 - Model Version & Configuration Management
 
Does this position require Visa independent candidates only? Yes
                