September 5
🏢 In-office - Los Angeles
•The Senior ML Integration Engineer will be responsible for integrating machine learning models into existing systems and workflows, ensuring that these models operate efficiently and effectively in production environments. •This role involves working closely with data scientists, software engineers, and IT teams to deploy and maintain machine learning solutions that drive business value.
•Model Integration: Deploy and integrate machine learning models into production environments. •Pipeline Development: Develop and manage end-to-end ML pipelines for data processing, model training, and deployment. •Performance Optimization: Monitor and optimize the performance of ML models in production. •Collaboration: Work with data scientists and engineers to align model requirements and ensure effective integration. •Automation: Implement CI/CD practices for ML models and automate deployment workflows. •Troubleshooting: Diagnose and resolve issues related to ML model performance and integration. •Documentation: Maintain documentation for integration processes, model configurations, and performance metrics.
•Health Insurance: Comprehensive medical, dental, and vision coverage. •Retirement Plans: Access to a 401(k) plan. •Paid Time Off: Generous vacation days, personal days, and holidays to ensure you have time to recharge. •Professional Development: Opportunities for ongoing training, workshops, and courses to advance your skills and career growth. •Team Building Activities: Regular social events, team outings, and company-sponsored activities to foster a positive work environment. •Diverse and Inclusive Culture: A commitment to diversity and inclusion, with initiatives to support a welcoming and equitable work environment.
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