| Role of MLOps Engineer Remote Role at Remote, Remote, USA |
| Email: [email protected] |
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http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=2126860&uid= Hello, Hope you doing well!!! My name is Tushar and I am a Sr. Technical Recruiter at USG. I am reaching out to you on an exciting job opportunity with one of our clients. Job Title: MLOps Engineer Location: Remote Role Interview: Video Interview Description: Focus on model deployments & performance monitoring, training & inference cost optimizations, tech stack upgrades & migrations Design, improve, and implement best practices in continuous integration and delivery pipelines to speed the rate at which our machine learning engineers can go from ideation to operationalizing machine learning models in a repeatable manner Setup new model training pipelines ensuring proper tagging, monitoring, alerting, and logging are in place Deploy projects into a streamlined environment strategy ensuring they can take advantage of best practices Identify cost savings in areas where computation and storage utilized for model training and inference can be optimized Support existing day to day requests through our service desk raised by our platform's customers to quickly provide access, unblock issues, and provide general guidance on best platform practices and patterns Collaborate with existing machine learning engineers, data scientists and ML platform engineers from cross-functional teams You Bring: Advanced degree (Masters or above) in Computer Science, specializing in software engineering or platform engineering 3 years of industry experience working in MLOps position Strong programming skills in languages such as Python, Scala, and Java Hands-on Experience in Databricks, mlFlow, Seldon Excellent problem-solving skills and analytical skills Deep knowledge of the AWS ecosystem Expertise in Git, Docker, Kubernetes, Jenkins, Prometheus, and Grafana Preferred Qualifications: Experience in supporting as platform engineer, large-scale online customer-facing ML applications, preferably recommendation systems Experience working with custom ML platforms, feature store, and monitoring ML models Familiarity with best practices in DevOps, MLOps Knowledge of additional CI/CD tooling such as Prow, Bazel, and ArgoCD Experience in Snowflake, Kubeflow, Tecton | | | Tushar Singh Associate Manager USG Inc. | [email protected] 6000 Venture Dr, Suite C & D, Dublin, Ohio 43017 | | | | -- This e-mail and any attached files are confidential and may be legally privileged. If you are not the addressee, any disclosure, reproduction, copying, distribution, or other dissemination or use of this communication is strictly prohibited. If you have received this transmission in error please notify the sender immediately and then delete this mail. E-mail transmission cannot be guaranteed to be secure or error free as information could be intercepted, corrupted, lost, destroyed, arrive late or incomplete, or contain viruses. The sender therefore does not accept liability for any errors or omissions in the contents of this message which arise as a result of e-mail transmission or changes to transmitted date not specifically approved by the sender. If this e-mail or attached files contain information which do not relate to our professional activity we do not accept liability for such information. -- Keywords: cprogramm continuous integration continuous deployment machine learning access management information technology golang Role of MLOps Engineer Remote Role [email protected] http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=2126860&uid= |
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| 02:02 AM 30-Jan-25 |