by Königsweg GmbH
Königsweg is seeking an experienced and passionate MLOps Engineer to join our innovative team. We are committed to driving innovation and enabling our clients in their digital transformation journey. As an MLOps Engineer, you will play a key role in streamlining the machine learning lifecycle, facilitating collaboration between data scientists and engineers, and improving the efficiency of our data science products and services. Your work will contribute to the continuous enhancement of our machine learning solutions, making a significant impact on our clients' success.
Duties and responsibilities
- Collaborate with our experienced team of machine learning experts, engineers, and project managers to improve and maintain our machine learning infrastructure.
- Develop and deploy machine learning models in production environments, ensuring scalability, reliability, and maintainability.
- Implement automation processes for the machine learning lifecycle, including data preprocessing, model training, and deployment.
- Monitor and evaluate model performance, providing feedback for continuous improvement.
- Promote best practices and standards for MLOps, including version control, reproducibility, and collaboration.
- Engage with the Python and PyData communities as part of Königsweg's commitment to these communities.
Appreciated qualification and experience
- Bachelor's degree in Computer Science, Engineering, or a related field.
- Multi-year practical experience in Python programming.
- In-depth experience with machine learning frameworks and libraries, such as scikit-learn, * TensorFlow, PyTorch, and pandas.
- Proficiency in MLOps tools and platforms, such as Kubeflow, MLflow, AutoML, AWS Sagemaker, Azure ML, or Google Vertex AI.
- Experience with containerization technologies, such as Docker and Kubernetes.
- Familiarity with CI/CD and automation best practices and tools, such as Ansible, Terraform, and Helm.
- Strong problem-solving, communication, and collaboration skills.
- Experience collaborating with data scientists.
Our enthusiastic teams collaborate daily with clients on innovative AI-based solutions and advanced optimization for various industries. Joining us means working alongside creative colleagues who develop ideas collectively and appreciate each other's expertise.
We are passionate about advancing artificial intelligence and scalable solutions. Becoming a member of our team allows you to collaborate with our talented professionals on inventive ideas and observe how they function within the developed solutions. We value mutual respect, amicable relationships, and results-driven work. We aim to be a family-friendly company and support contemporary working structures.
We recognize that our employees' individuality and diversity contribute significantly to our success. Our hiring process focuses on qualifications and career profiles. We encourage applications from all driven candidates, regardless of age, gender, disability, sexual orientation, origin, or religion.
Alexander Hendorf (firstname.lastname@example.org)