Machine Learning Ops Engineer
Job Title: Machine Learning Ops Engineer
Duration: 8+ months
Location: Remote
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 is a must. Proven experience with Linux bash scripting, Python scripting, or Groovy scripting Proven experience with Docker, and 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 KafkaProven experience with CICD tools like Jenkins, Shell Scripting, Gitlab, Github, Gitlab Pages, and 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