AI Lead Machine Learning Operator
| Company | Occidental Petroleum |
|---|---|
| Location | Houston, TX, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Master’s |
| Experience Level | Expert or higher |
Requirements
- Master’s degree in computer science, mathematics, physics, engineering or related field required.
- A minimum of 10 years of experience and deep knowledge in machine learning, artificial intelligence, and/or scientific computing required.
- Strong Python programming skills required.
- Knowledge of Linux environment required.
- Experience developing, architecting, and running ML or deep learning workload in the Cloud.
- Experience with Docker for containerization and Kubernetes for orchestration.
- Understanding of data engineering principles and databases (relational, NoSQL).
- Proven ability to interact with users to determine their needs and translate them into technical requirements.
- Experience in managing a small team and being a team player in a cross-functional group.
Responsibilities
- Monitor all deployed machine learning and artificial intelligence models and systems.
- Update, re-train, and improve ML and AI models and systems if and when necessary in collaboration with IT specialists and data scientists.
- Coordinate with users to solicit performance feedback and feature requests.
- Maintenance of a roadmap for new features.
- Build and lead a team of ML Operators to maintain Oxy’s growing portfolio of models and applications.
Preferred Qualifications
- Certified in Amazon Web services (AWS) cloud provider is highly preferred.
- Ideally AWS certified in Machine Learning Specialty.