| MLOPS Engineer || Reston, VA/Plano, TX(Hybrid) at Reston, Virginia, USA |
| Email: [email protected] |
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http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=2273343&uid= Need Local and candidate with Passport No Need Candidate within 100 Miles Role: MLOPS Engineer Location: Reston, VA/Plano, TX(Hybrid) Job Description:- 10+ Years Overall experience MLOPS (Machine Learning Operations): The MLOPS Engineer will design and build scalable machine learning infrastructure, ensuring smooth deployment, monitoring, and lifecycle management of ML models. Responsibilities include automating workflows, enabling continuous integration/continuous deployment (CI/CD) pipelines. Develop and Maintain ML Infrastructure: Build and maintain ML pipelines that support model training, testing, deployment, and monitoring. Model Deployment: Implement efficient processes for deploying ML models in production environments, such as cloud platforms or on-premises infrastructure. Set up CI/CD pipelines for continuous integration and delivery of ML models. Automation and Scaling: Automate model retraining, validation, and performance monitoring processes. Collaboration with Data Scientists: Work closely with data scientists to streamline the model development lifecycle and ensure models can easily be transitioned to production. Monitoring and Optimization: Monitor ML models in production for accuracy and performance and troubleshoot any deployment or scaling issues. Infrastructure as Code (IaC): Develop infrastructure as code to manage cloud resources for ML workloads. Versioning and Experimentation Tracking: Implement model versioning, experiment tracking, and reproducibility techniques. Security and Compliance: Ensure models comply with organizational security standards and regulatory guidelines. Containerization: Hands-on experience with Docker, Kubernetes, or other container orchestration systems. CI/CD Tools: Knowledge of Jenkins, GitLab, CircleCI, or other CI/CD tools for automation. Data Pipelines: Experience orchestration tools for managing data pipelines. Version Control: Familiarity with Git for code versioning. DevOps Experience: Basic understanding of DevOps tools and practices (e.g., Terraform) 8+ years of experience on Python and AWS Services using ML Models Implementation to Production Regards Sagar Bhardwaj Sr. Technical Recruiter 300 Alexander Park |Suite #200|Princeton , NJ 08540 Office: +1 7324521006 Ext238 Email: [email protected]| URL: http://www.diverselynx.com -- Keywords: continuous integration continuous deployment machine learning information technology New Jersey Texas Virginia MLOPS Engineer || Reston, VA/Plano, TX(Hybrid) [email protected] http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=2273343&uid= |
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| 10:04 PM 20-Mar-25 |