Hybrid MLOps Engineer: AI Deployments on Kubernetes

Talan SAS
Municipality of Madrid, Spain
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Compensation
€ 60K

Job location

Remote
Municipality of Madrid, Spain

Tech stack

API
Artificial Intelligence
Airflow
Software Quality
Continuous Integration
ETL
Github
Information Technology Operations
Python
Machine Learning
Fortify (Software)
SONAR (Symantec)
Spark
GIT
Pytest
PySpark
Kubernetes
Deployment Automation
Machine Learning Operations
Control M

Job description

A global consulting firm is seeking an MLOps Specialist to enhance digital capabilities in Madrid, Spain. In this role, you will bridge the gap between Data Science and IT Operations, deploying and maintaining AI applications. You'll work closely with Data Scientists and Product Owners to design robust AI solutions. Candidates should have strong experience with Python, Kubernetes, and CI/CD pipelines. This permanent, full-time hybrid position offers training, development, and comprehensive benefits, including private medical insurance., * Deploy and manage AI applications using Kubernetes.

  • Perform ETL processes using Python and Spark.
  • Build and maintain APIs for AI/ML solutions.
  • Ensure code quality and build deployment pipelines.
  • Conduct testing using frameworks such as Pytest.
  • Monitor and maintain AI/ML projects in production., Kubernetes Python Spark Git GitHub Actions Sonar Fortify Pytest Control-M Airflow, A global consulting firm is seeking an MLOps Specialist to enhance digital capabilities in Madrid, Spain. In this role, you will bridge the gap between Data Science and IT Operations, deploying and maintaining AI applications. You'll work closely with Data Scientists and Product Owners to design robust AI solutions. Candidates should have strong experience with Python, Kubernetes, and CI/CD pipelines. This permanent, full-time hybrid position offers training, development, and comprehensive benefits, including private medical insurance. Consigue la evaluación confidencial y gratuita de tu currículum

Requirements

Experience implementing AI models using Python Hands-on experience with Kubernetes for deployment Experience performing ETL processes using Python and Spark Experience building and maintaining APIs for AI/ML applications Experience using Git for version control Experience implementing CI/CD pipelines using GitHub Actions Experience with testing frameworks such as Pytest Experience using workflow orchestration tools such as Control-M and Airflow Ability to collaborate with cross-functional teams

Apply for this position