| Machine Learning Operational (ML Ops) Engineer - C2C - Remote at Remote, Remote, USA |
| Email: [email protected] |
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http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=361857&uid= From: Mano, Sight Spectrum [email protected] Reply to: [email protected] Hi, Hope you are doing well, Experiance: 10 years We have a MLOps Engineer requirement. If interested, kindly share your consultant Updated resume and contact details for future processes. Role: MLOps Engineer Location: Washington 100% Remote Hiring Mode: Contract Job Description Proven expertise in machine learning model lifecycle Proven expertise and experience in creating data pipelines using Python or R required for real time model inference Proven expertise and experience in creating a microservice using Flask or FastAPI or R equivalent for a machine learning model. Experience with APIGEE a must. Proven experience with Linux bash scripting, Python scripting or Groovy scripting Proven experience with Docker, Kubernetes Proven experience with MPP databases like Teradata and reasonable experience with Hadoop ecosystem products like Hive, HDFS, HBASE etc. Proven experience with streaming technologies like Kafka Proven experience with CICD tools like Jenkins, Scripting, Gitlab, Github, Gitlab Pages, Gitlab Documentation Proven experience with logging, alerting, debugging and monitoring tools like ELK, Kibana, Catchpoint, Prometheus and Splunk. Experience with EKS, or GKE is a plus. Keywords: rlang http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=361857&uid= |
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| 01:44 AM 15-Feb-23 |