What you will do
- Applies software development practices, DevOps skills and Machine Learning (ML) techniques to orchestrate an end-to-end machine learning workflow that effectively brings ML models to production.
- Participates in scoping of deployment of new data science solutions and implements the appropriate solution design.
- Sustain data science solutions by enabling continuous ML model and/or service performance monitoring, training, and re-training of models, including the implementation of proactive alerting methods.
- Works effectively with computational scientists, data scientists, engineers, software developers, and domain experts across the globe to develop and apply computational and data science solutions in support of our business.
About You
Skills and Qualifications
- Bachelor s degree from a recognized university in Computer Science, IT, Applied Mathematics, Engineering or related disciplines with minimum 7.0 CGPA or equivalent.
- Minimum 3 years of experience in Data Science and Machine Learning or related computational domain.
- Competent to expert level programming experience in C/C++/Python.
- Strong foundation in application design.
- Experience with refactoring legacy code and leveraging third-party libraries/APIs during software development.
- Experience with Source code version control (Git), Azure Cloud platform and containers, Databricks and MLflow.
- Continuous Integration and Continuous Deployment.
- Familiarity with statistical analysis, regression and classification.
Preferred Qualifications / Experience
- Experience with time series analysis, computer vision, natural language processing.
- Knowledge or hands on experience on Matlab & SQL.
- Strong written and verbal communication skills.
- Prior knowledge of commercial software development and/or experience in commercial software teams.
- Familiarity with Oil and Gas Industry.
