Statutory Manager
Baker Hughes
Job Level
Senior
Tech Stack
CloudGoogle Cloud PlatformPyTorchScikit-LearnTensorflow
About the role
- Lead Product for Data covering three pillars: Data Analytics & BI, Data Governance, and Data AI.
- Work with group stakeholders to identify opportunities for leveraging company data to drive business solutions and strategies.
- Assess effectiveness and accuracy of new data sources and data gathering techniques.
- Develop predictive models using Machine Learning, Natural Language Processing (OCR, information extraction), and LLMs to build Data Products that impact key organization metrics.
- Research algorithm improvements for higher performance, accuracy, and optimality.
- Develop processes and tools to monitor and analyze model performance and data accuracy.
- Build data governance practices as the company scales toward enterprise architecture.
- Roll up sleeves and perform hands-on work when needed; prioritize speed and execution.
- Over-communicate across autonomous teams, take care of staff, and operate with attention to detail in a chaotic startup environment.
Requirements
- Experienced working in Data Products and building and scaling data teams to support organization growth
- Experience using ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
- Experience with Google Cloud Platform products and services such as Vision API, Recommendations API, Cloud Natural Language.
- An in-depth knowledge of AI techniques, their real-world advantages/drawbacks, and ability to prescribe and implement feasible and appropriate conventional/AI related techniques that serve as solutions to problems.
- Good knowledge of codebase shares like Gitlab, bitbucket, and CI/CD process
- Strong problem solving skills with an emphasis on business solution product development.
- Excellent written and verbal communication skills for coordinating across teams.
- Great team player but at the same time able to work independently with minimal supervision
