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