| : MLOps Engineer - Reston, VA/Plano, TX (Day 1 Onsite) - Long Term Contract at Reston, Virginia, USA |
| Email: [email protected] |
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http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=2273198&uid= Currently, we are looking for talented resources for one of our listed clients. If interested please reply to me with your updated resume. Job Title: MLOPS Engineer Location: Reston, VA/Plano, TX (Day 1 Onsite) Duration: Long Term Contract Job Description: - 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 Thanks & Regards Vijay Kumar Nelapati Sr US IT Recruiter [email protected] https://www.linkedin.com/in/vijay-kumar-nelapati-b98533129/ Ekcel Inc | https://www.ekcelinc.com/ 6600 Paige Rd, Suite 218-219, The Colony, TX 75056 -- Keywords: continuous integration continuous deployment machine learning information technology California Texas Virginia : MLOps Engineer - Reston, VA/Plano, TX (Day 1 Onsite) - Long Term Contract [email protected] http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=2273198&uid= |
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| 09:35 PM 20-Mar-25 |