| Hiring- MLOps Engineer, 100% Remote at Remote, Remote, USA |
| Email: [email protected] |
| From: sarfaraz, convextech Inc [email protected] Reply to: [email protected] Hi Hope you are doing good.!! Please let me know if you are interested in the position below!! Title: MLOps Engineer. Location:. Remote. Duration : Long Term Contract. Visa Restrictions: No H1b/CPT . Job Description: Design, implement, and manage CI/CD pipelines tailored for machine learning workflows. Ensure that machine learning models are properly versioned and deployed into production, staging, or testing environments automatically. Collaborate with data scientists and software engineers to optimize the automation process for training, validating, and deploying machine learning models. Continuously monitor the performance and reliability of CI/CD pipelines and make adjustments as necessary. Set up environments and fully implement scalable machine learning operations. Continuously monitor, optimize, debug and automate MLOps pipelines for increased quality and efficiencyincluding pipeline level, module level, and system-level inspection. Develop & maintain the infrastructure & tools that facilitate the deployment and monitoring of our ML algorithms in production. Keep abreast of the latest technology trends to drive standard methodologies and stay ahead of the curve. Document and track all systems, pipelines and best practices. Skills & Requirements Minimum of 1-3 years experience in setting up and maintaining CI/CD pipelines, preferably in a machine learning context. Strong understanding of containerization and orchestration tools such as Docker and Kubernetes. Familiarity with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn. Proficient in scripting languages such as Python, Bash, or Shell for automation tasks. Thanks and Regards Sarfaraz Khan US IT Recruiter | Convex Tech In Email: [email protected] LinkedIn:https://www.linkedin.com/in/sarfaraz-khan-stellar/ Keywords: continuous integration continuous deployment machine learning information technology Hiring- MLOps Engineer, 100% Remote [email protected] |
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| Thu May 09 04:38:00 UTC 2024 |