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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
Implement high-quality ideas efficiently, with a focus on technical expertise and attention to detail
Get involved in all aspects of the entire solution lifecycle, from idea creation to productization
WHAT YOU’LL BRING
You are interested in AI/ML and MLOps topics. You also have experience with Python backend development and DevOps practices. Besides, you possess communication skills and can work effectively in a team and with stakeholders. You are committed to continuous learning & sharing skills to others.
Bachelor’s or master’s degree in computer science, data science, engineering or related technical fields
3-5 years of work experience in data science and software development
Strong understanding of AI/ML concepts with focus on MLOps
Strong experience in DevOps practices and tools such as Jenkins, GitHub, Terraform
Experience 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
Experience in Azure Databricks and/or Spark will be considered a plus
Job Segment:ERP, User Experience, Cloud, Software Engineer, PLM, Technology, Engineering, Management
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