Apache Spark Jobs in Vienna

In this job, you will develop key components of the CMP platform using Go, improve code quality, and participate in the complete software development lifecycle, including design and testing.

In this role, you will develop innovative data models and implement effective data pipelines in Cloud and On-Premise to create data-driven solutions for sustainable AI industrialization.

In this role, you will design robust data pipelines on AWS, define data contracts with teams, and enable optimal ML workflows. You will implement CI/CD practices and ensure the scalability and security of the data infrastructure.

In this role, you will design data projects and develop machine learning in Python. You will work on challenging customer projects, optimizing models while collaborating closely with engineers.

In this role, you will develop ML solutions on Databricks using Python and MLflow, integrate models into data pipelines, implement end-to-end MLOps, and ensure quality and efficiency of production ML applications.

In this role, you will be responsible for designing and implementing scalable data platforms, developing data pipelines using Apache Spark, and optimizing REST APIs for cloud solutions like Azure and AWS.

In this role, you will develop AI and data solutions from the data foundation to cloud implementation, specializing in either AI/ML Engineering, Data Analytics, or Cloud Platforms.

In this role, you will develop end-to-end AI use cases and work on AI and data solutions that you implement in modern cloud environments, focusing on Engineering, Analytics, or Platforms according to your preference.

In this role, you will develop analytical data models and data products, optimize processes using SQL and Spark, and integrate data from various sources while collaborating closely with business departments.