3 months ago
Charlotte, NC, USA or Dallas, TX, USASenior
Responsibilities
- Define and implement company-wide machine learning frameworks, best practices, roadmaps, and operating processes.
- Design and build ML and AI prototypes to validate use cases and solve complex business problems.
- Develop and deploy production-grade machine learning models and data pipelines.
- Build orchestration, integration, CI/CD, testing, monitoring, alerting, and model lifecycle capabilities for ML solutions.
- Monitor, maintain, retrain, version, and protect production ML systems and their data.
- Lead or participate in the development, testing, implementation, maintenance, and support of complex software solutions.
- Provide production support, warranty support, knowledge transfer, and automated monitoring capabilities.
- Collaborate with product, data, business, and production support teams in an Agile environment.
- Mentor less experienced teammates, help establish processes and standards, and potentially oversee a small team.
Requirements
- Bachelor’s degree and six to ten years of experience, or equivalent education and software engineering training or experience.
- At least five years of experience across data analytics, infrastructure, engineering, and data science roles.
- At least two years of experience in applied ML engineering or data science roles.
- Strong proficiency in Python and machine learning frameworks.
- Experience with Databricks and Azure for data engineering and ML workflows.
- Familiarity with MLflow, Lakehouse Monitoring, Azure DevOps, MLOps tools, and CI/CD practices.
- Solid understanding of data science, data engineering, and model lifecycle management principles.
- Demonstrated experience deploying ML models into production and maintaining ML systems at scale.
- Ability to solve complex technical and operational problems, lead complex projects, and apply best practices.
- Strong communication skills and ability to work independently, collaboratively, and with business stakeholders.
- Ability to mentor less experienced teammates and convey complex or sensitive information.
- Knowledge of insurance industry data and business processes is preferred.
Benefits
- Eligible full-time employees receive medical, dental, vision, life, disability, and AD&D insurance.
- Benefits include tax-advantaged savings accounts and a 401(k) plan with company match.
- Paid time off includes company holidays, vacation, sick days, and new parent leave.
- Eligible positions may qualify for restricted stock units and/or a deferred compensation plan.
- The role is located in Charlotte, Dallas, Raleigh, or Alpharetta, with regular first-shift hours in the United States.
Categories
Data EngineeringML Engineering
About CRC
CRC (California Resources Corporation) is an independent energy company that produces oil, natural gas, and NGLs for California refineries and power/industrial users. It was formed in 2014 through the spin-off of Occidental Petroleum’s California assets and is headquartered in Long Beach, California. CRC is publicly traded on the NYSE (ticker: CRC) and also develops carbon capture and storage projects through its Carbon TerraVault initiative.