Site Reliability Engineer SRE – ML platform

Austin, TX - USA

Monthly Salary: Not Disclosed

Posted on: 3 hours ago

Vacancies: 1 Vacancy

Job Summary

For this role we are looking for ML Ops Engineer with Kubernetes and Python.

Experience Required:

6 Plus years of experience in ML Ops with strong knowledge in Kubernetes Python MongoDB and AWS.

Technical skills:

Python Kubernetes Mongo DB Microservices AWS
SOLR
ML operations CI CD pipelines LLM
Good understanding of Apache SOLR
Proficient with Linux administration.
Knowledge of ML models and LLM.
Ability to understand tools used by data scientists and experience with software development and test automation
Ability to design and implement cloud solutions and ability to build MLOps pipelines on cloud solutions (AWS MS Azure or GCP).

Qualifications:

Experience working with cloud computing and database systems
Experience building custom integrations between cloud-based systems using APIs
Experience developing and maintaining ML systems built with open-source tools
Experience with MLOps Frameworks like Kubeflow MLFlow DataRobot Airflow etc. experience with Docker and Kubernetes
Experience developing containers and Kubernetes in cloud computing environments
Familiarity with one or more data-oriented workflow orchestration frameworks (Kubeflow Airflow Argo etc.)
Ability to translate business needs to technical requirements
Strong understanding of software testing benchmarking and continuous integration
Exposure to machine learning methodology and best practices
Good communication skills and ability to work in a team

For this role we are looking for ML Ops Engineer with Kubernetes and Python. Experience Required: 6 Plus years of experience in ML Ops with strong knowledge in Kubernetes Python MongoDB and AWS. Technical skills: Python Kubernetes Mongo DB Microservices AWS SOLR ML operations CI CD pipeline...