AI DevOps iv)

Ingenious Technologies AG
München, Germany
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Junior

Job location

München, Germany

Tech stack

Java
Artificial Intelligence
Amazon Web Services (AWS)
Automation of Tests
Azure
Cloud Computing
Computer Programming
Continuous Integration
DevOps
Python
Machine Learning
Ansible
TensorFlow
Prometheus
Software Engineering
Management of Software Versions
Data Logging
Google Cloud Platform
Cloud Platform System
PyTorch
Grafana
Gitlab
Containerization
Kubernetes
Information Technology
Deployment Automation
Docker
Jenkins

Job description

  • Develop and maintain CI/CD pipelines for AI/ML models targeted towards chip development, ensuring smooth and efficient deployment to production environments
  • Deploy and monitor AI/ML models in production environments, ensuring they meet performance, scalability, and reliability requirements and versioning and rollback capabilities
  • Work closely with data scientists and engineers to understand AI/ML model requirements, develop deployment strategies, and ensure seamless integration with existing infrastructure
  • Develop and implement automated testing and validation frameworks to ensure AI/ML models meet quality and performance standards managing performance & drifts
  • Manage and optimize infrastructure resources (e.g., compute, storage, networking) to support AI/ML workloads, ensuring efficient use of resources and minimizing costs and drive continuous improvement

Requirements

You are a strong team player with excellent problem-solving and communication skills, able to clearly explain ideas and collaborate with others to drive results. You naturally take initiative, help guide discussions, and inspire those around you.

  • Degree in Computer Science, Information Technology or related fields such as Artificial Intelligence, Machine Learning, Data Science
  • 1 to 3 years of experience in DevOps, software engineering or a related field
  • Experience working with AI/ML models, CI/CD pipelines, containerization (e.g. Docker), cloud-based infrastructure (AWS, GCP, Azure) and container orchestration (e.g. Kubernetes)
  • Relevant certifications in DevOps, Cloud Computing, or AI/ML engineering (e.g. AWS Certified DevOps Engineer, Google Cloud Certified - Professional Cloud Developer)
  • Strong experience with programming (e.g. Python, Java), CI/CD tools (e.g. Jenkins, GitLab), containerization (e.g. Docker, Kubernetes), cloud platforms (e.g. AWS, GCP), and automation tools (e.g. Ansible)
  • Familiarity with AI/ML frameworks (e.g. TensorFlow, PyTorch) and monitoring/logging tools (e.g. Prometheus, Grafana)
  • Fluency in English (mandatory)

About the company

Ingenious Technologies is a leading independent marketing technology provider. With the cloud-based Ingenious Enterprise platform, companies across all industries can aggregate, structure, enrich and analyse all marketing data collected. Thanks to real-time processing and a high level of automation, reliable data sets are available for clients to make agile marketing decisions.

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