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WHAT YOU’LL DO
Work on development and conceptual tasks along the entire AI product lifecycle as well as on technology-related enablement of AI Platform users within an agile team.
Contribute to building of reusable software components required for fast delivery of productive ML models, increased process automation and accelerated adoption of MLOps best practices.
Continuous learning and familiarization with state-of-the-art algorithms and technologies in agile software engineering, MLOps and AI.
Openness to conduct data science tasks in our AI projects including knowledge in Python libraries and Machine Learning frameworks
WHAT YOU’LL BRING
Bachelor’s or master’s degree in computer science, data science, engineering or related technical fields
Understanding of AI/ML concepts with focus on MLOps
Understanding of Machine Learning frameworks such as Numpy, Pandas, Keras, scikit-learn, TensorFlow, PyTorch
Experience in DevOps practices and tools such as Jenkins, GitHub, Terraform
Experience with large-scale data processing frameworks such as Spark.
Knowledge in Azure cloud services, Azure DevOps and related tools for successful end-to-end deployment and management of machine learning solutions will be considered a plus
Job Segment:User Experience, ERP, Cloud, PLM, Software Engineer, Technology, Engineering, Management
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