Job Description: Machine Learning Engineer
We are seeking a skilled Machine Learning Engineer to join our team in Stuttgart, Germany. The ideal candidate will have a strong background in MLOps, machine learning, and cloud infrastructure, with experience in NLP and CV workflows.
Responsibilities:
- Build and maintain infrastructure and processes for machine learning operations.
- Prepare datasets, evaluate models using KPIs, validate, and deploy models into production systems, both embedded and cloud-based.
- Design and implement CI/CD pipelines for ML workflows.
- Automate ML operations and leverage cloud solutions like AWS with Terraform for scalability.
Minimum Requirements:
- Proven experience in MLOps and end-to-end ML lifecycle management.
- Strong programming skills in Python and C++.
- Familiarity with MLOps tools such as MLFlow, Airflow, or Kubeflow.
- Experience with CI/CD tools like Jenkins.
- Knowledge of automation tools for ML operations.
- Experience in NLP and CV workflows and metrics.
- Hands-on experience in model validation, testing, and deployment.
- Excellent communication skills in English.
Technologies:
- Airflow, CI/CD, Cloud, Computer Vision, Embedded, Support, Jenkins, Kubeflow, Machine Learning, Mobile, Python, Terraform, DevOps.
About Cinemo:
Cinemo is a global provider of innovative infotainment products, supporting all digital media scenarios across industries and devices. Since 2008, it has partnered with leading OEMs and tier-1s, delivering groundbreaking digital media experiences worldwide.
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Kontaktperson:
Cinemo GmbH HR Team