drjobs MLOps Engineer

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Job Location drjobs

Columbus, OH - USA

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Job Summary

As an MLOps Engineer you will be responsible for the endtoend productionization and deployment of machine learning models at scale. You will collaborate closely with data scientists to refine models and ensure they are optimized for production. Additionally you will maintain and improve our MLOps infrastructure automate deployment pipelines and ensure compliance with IT and security standards. Your role will be critical in image management vulnerability remediation and the deployment of ML models using modern infrastructureascode practices.

Key Responsibilities
  • Oversee the endtoend productionization and deployment of machine learning models.
  • Collaborate with data scientists to refine and optimize models for production.
  • Maintain and enhance MLOps infrastructure.
  • Automate deployment pipelines.
  • Ensure compliance with IT and security standards.
  • Manage image management and vulnerability remediation.
  • Deploy ML models using infrastructureascode practices.
API Experience
  • Develop and maintain APIs and data pipelines for seamless integration of machine learning model outputs into our Kafkabased event hub platform.
  • Strong background in Python API development (batch and realtime) Kafka FTP/SFTP automation and Linux operating systems.
  • Work closely with data scientists to understand and finalize the schema of model outputs.
  • Document schemas using Swagger.
  • Collaborate with event hub architects to ensure accurate and reliable data publication through Kafka APIs automated FTP processes or customdeveloped APIs for realtime integration.
Qualifications
  • Proven experience in MLOps machine learning model deployment and infrastructure management.
  • Proficiency in Python API development Kafka FTP/SFTP automation and Linux.
  • Strong understanding of IT and security standards.
  • Excellent collaboration and communication skills.
  • Experience with infrastructureascode practices.
About Us
  • Opportunity to work with cuttingedge technologies and large language models.
  • Collaborative and innovative work environment.

Join us and be a part of a team that is at the forefront of leveraging AI and machine learning to drive business success!

Required Skills : AWS Docker Git Python SQL Swagger Terraform

Employment Type

Full Time

Company Industry

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