MLOps - Texas, United States - Riverside Staffing, LLC

Description

We are looking for a skilled Data & ML Ops professional to join our team, dedicated to enhancing our renewables trading platform in the US.

• Lead the development and implementation of renewables trading strategies.
• Collaborate closely with commercial teams to align models with market demands.
• Adopt an experimental approach to prototype and develop effective trading models.

Key requirements for this role:

• Minimum 5 years of Python development experience.
• Minimum 3 years of commercial experience collaborating with data scientists/ML researchers.
• Proficiency in Orchestration and IaC tools, Git, Containerization, SQL, and Python's numerical ecosystem.
• Bachelor's degree in Computer Science, Machine Learning, Electrical Engineering, or related field.

Additional advantageous qualifications:

• Data engineering experience.
• Familiarity with monitoring frameworks.
• Machine learning expertise, especially in time-series forecasting and optimization methods.
• Knowledge of US ISO power markets.
• Experience with data visualization technologies.

In return, we provide competitive compensation, flexible work arrangements, and numerous opportunities for personal development.

During our recruitment process, we handle personal information in line with our candidate privacy policy.