(Senior) MLOps Engineer (f / m / d)

Job Description: MLOps Engineer

We are seeking a skilled (Senior) MLOps Engineer to join our team. The ideal candidate will have extensive experience in end-to-end machine learning lifecycle management and a strong background in automation, cloud solutions, and MLOps tools.

Responsibilities:

1. Build and maintain infrastructure and processes for machine learning operations.
2. Prepare datasets, evaluate models using KPIs, validate and deploy models, ensuring seamless integration into production systems (embedded and cloud).
3. Design and implement CI/CD pipelines for ML workflows, automate ML operations, and leverage cloud solutions like AWS with Terraform for scalability and efficiency.
4. Monitor and optimize deployed models for performance and reliability.

Requirements:

1. Proven experience in MLOps and managing the full machine learning lifecycle.
2. Strong programming skills in Python and C++.
3. Experience with MLOps tools such as MLFlow, Airflow, or Kubeflow.
4. Knowledge of CI/CD tools like Jenkins.
5. Proficiency in automation tools and cloud platforms, especially AWS with Terraform.
6. Experience in NLP and CV workflows and metrics.
7. Hands-on experience with model validation, testing, and deployment.
8. Excellent communication skills in English.

Technologies:

• Airflow
• CI/CD
• Cloud
• Computer Vision
• Embedded Systems
• Jenkins
• Kubeflow
• Python
• Terraform
• DevOps

About Cinemo:

Cinemo is a global provider of innovative infotainment products, supporting embedded, mobile, and cloud media solutions. Established in 2008, we serve over 40 OEMs and 20 Tier-1s worldwide, with a team of 300+ professionals from 40+ nationalities, dedicated to delivering groundbreaking digital media experiences.

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