| MLOps Developer : Hybrid in Miramar, FL or Dallas, TX preferred; open to remote candidates as well at Dallas, Texas, USA |
| Email: [email protected] |
| Position: MLOps Developer Location: Hybrid in Miramar, FL or Dallas, TX preferred; open to remote candidates as well Longevity: 6+ months Position Description We're a hard-working team of tech enthusiasts and professionals on a mission to reshape the future. We've got everything from pioneering projects that challenge your skills to an encouraging and inclusive work environment that fuels your growth. Plus, we offer unparalleled opportunities for professional development, empowering you to stay at the forefront of the ever-evolving tech landscape. We are looking for a skilled MLOps Developer to join our team! Preference will be given to candidates who can work in a hybrid nature from the client office in Miramar, Florida, or Dallas, Texas. Remote candidates will be considered. Your future duties and responsibilities Monitoring - Actively monitor ML jobs through logging, metrics, and alerts. Incident Management Address job failures. Rerun jobs, maintain model/job versions in production. Infrastructure Scalability - Scale infrastructure to handle production workloads. Tuning, capacity planning, cost optimization. Compliance and Security - Apply security best practices. Encrypt data, manage secrets, enforce access controls. Technical Support - Troubleshoot integration and infrastructure issues. Operations Review Monthly Incident management summary, Change management summary and other support metrics. Model Re-training - Schedule regular retraining of models on new data. Manage code and config changes needed for retraining. Model Evaluation - Continuously evaluate model performance on test data. Watch for statistical validation issues. Data Validation - Monitor production data inputs. Check for statistical changes, missing values, outliers, errors. Dependency Management - Manage libraries, frameworks, ML pipelines. Keep versions aligned across dev, test, prod environments. Update Python package versions for Airflow and Lambda if libraries become deprecated and other components and services as needed to customize the environment. DevOps Use version control, Infrastructure as Code, and Configuration Management tools to develop automation which deploys code base. Automation Programmatically define repeatable and reliable tasks which reduce operational overhead. Testing programmatically enforcing quality standards related to the application, automation, and underlying ml models. Required qualifications to be successful in this role Requirements: 3-7 years of proven experience in the following areas: Deepak Prajapati | Sr. US IT Recruiter +1 (860) 640-4611 ext 168 United States | Canada | India | Indonesia Keywords: machine learning information technology Florida Texas |
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| Thu Dec 21 22:50:00 UTC 2023 |