Oxy is looking for an AI Machine Learning Operations Engineer to research, build, and design artificial intelligence systems to automate predictive models, and design machine learning systems, models and schemes.
Requirements
- A minimum of 3 years of experience and deep knowledge in orchestration methods and tools to optimally use computational infrastructure, and machine learning methods and algorithms
- Strong Python or R programming skills required
- Knowledge of Linux environment required
- Experience developing, architecting, and running ML or deep learning workload in the Cloud.
- Ability to express the intuition behind basic ML algorithms
- Experience performing basic hyper parameter optimization
- Experience with Docker for containerization and Kubernetes for orchestration
Responsibilities
- Design the right machine learning model architecture and model type
- Design the right machine learning model architecture and model type for particular applications
- Tune the hyper-parameters of algorithms
- Perform training and validation of models
- Create workflows to optimize performance for computationally heavy workloads
- Work with data scientists to improve the data and model for optimal accuracy
Other
- Bachelor's degree in computer science, mathematics, physics, engineering or related field required
- Master's degree is highly preferred. Equivalent combination of advanced education and relevant experience will be considered.
- Strong knowledge of Microsoft products (Excel, Project, PowerPoint, Word, Power BI).
- Ability to follow model training, deployment, and operational best practices
- Occidental does not offer sponsorship of employment-based nonimmigrant visa petitions for this role.
