| ML Ops Engineer || Remote at Remote, Remote, USA |
| Email: [email protected] |
| From: Boopathy, Smart IT Frame [email protected] Reply to: [email protected] Hi , Greetings from Smart IT Frame, Hope you are doing well!!! Smart IT Frame specializes in enabling you with your most critical line of resources. Whether its for permanent staffing, contract staffing, contract-to-hire or executive search, we understand the importance of delivering the most suitable talent; on time and within budget. With our Core focus in emerging technologies, we have provided global technology workforce solutions in North America, Canada & India. We take pride in delivering specialized talent, superior performance, and seamless execution to meet the challenging business needs of customers worldwide Role: ML Ops Engineer Location: Remote Mode of Hiring: Contract Skills Required: ML OPS, Python, Hadoop, EKS, GKE Job Description: 1. Proven expertise in machine learning model lifecycle 2. Proven expertise and experience in creating data pipelines using Python or R required for real time model inference 3. 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. 4. Proven experience with Linux bash scripting, Python scripting or Groovy scripting 5. Proven experience with Docker, Kubernetes 6. Proven experience with MPP databases like Teradata and reasonable experience with Hadoop ecosystem products like Hive, HDFS, HBASE etc. 7. Proven experience with streaming technologies like Kafka 8. Proven experience with CICD tools like Jenkins, Shell Scripting, Gitlab, GitHub, Gitlab Pages, Gitlab Documentation 9. Proven experience with logging, alerting, debugging and monitoring tools like ELK, Kibana, Catchpoint, Prometheus and Splunk. 10. Experience with EKS, or GKE is a plus A candidate must be a self-starter with strong problem-solving abilities. Require at least 2 years of experience with most of the tools/technologies enumerated above. candidates who have truly completed one lifecycle with respect to the real time machine learning domain. -- -- Thanks & Regards Boopathy Rajan.S Smart IT Frame - An E- Verify Employer 220 Davidson Avenue Suite #313 Somerset NJ 08873 Direct: 8484554525 [email protected] | www.smartitframe.com LinkedIn ID: linkedin.com/in/boopathy-rajan-s-14aba2244 Keywords: machine learning rlang information technology Idaho New Jersey |
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| Tue Feb 28 16:26:00 UTC 2023 |