Automation Engineer for Machine Learning Solutions
vor 4 Wochen
As an Automation Engineer specializing in Machine Learning, you will be pivotal in refining our MLOps framework, streamlining ML workflows, and ensuring the effective deployment of scalable machine learning models. Your collaboration with diverse teams will be essential in designing, developing, and maintaining automated ML pipelines that align with our ambitious AI initiatives.
Key Responsibilities- Design and Implementation: Create automated ML pipelines for data preprocessing, model training, evaluation, and deployment.
- Collaboration: Work alongside data scientists and engineers to integrate ML models into production settings, ensuring optimal performance and scalability.
- CI/CD Development: Establish and maintain CI/CD pipelines for machine learning projects to automate testing, deployment, and monitoring of ML models.
- Best Practices Exploration: Investigate and implement best practices in MLOps, focusing on version control, model monitoring, and performance tracking.
- Data Quality Assurance: Collaborate with the data engineering team to guarantee the availability and quality of data for model training and inference.
- Continuous Learning: Stay updated on the latest advancements in AI/ML technologies and automation tools to enhance our ML infrastructure.
- Solid understanding of CI/CD principles, with experience in tools such as Jenkins, GitLab CI, and GitHub Actions.
- Familiarity with containerization technologies like Docker and Kubernetes, as well as cloud services including AWS, GCP, and Azure.
- Proficiency in Python and experience with ML libraries such as Scikit-learn, TensorFlow, and PyTorch.
- Expertise in automation/orchestration tools like Kubeflow, Airflow, Dagster, and Dataform, along with ML tracking/lifecycle tools such as MLflow and Tensorboard.
- Experience with database management systems, including Postgres, BigQuery, and Oracle.
- Strong problem-solving abilities, capable of working independently and collaboratively.
- Excellent communication skills, with proficiency in English required.
- Experience in data modeling and familiarity with data modeling software is advantageous.
- Be part of a forward-thinking organization that is making a significant impact in real estate and sustainable development.
- Collaborate with a team of passionate professionals in a creative and innovative environment.
- Receive a competitive salary, comprehensive benefits package, and flexible working arrangements, including remote options.
- Experience a culture that values creativity, continuous learning, and personal growth.
Are you ready to take on a new challenge? We look forward to your application.
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