Expoint - all jobs in one place

Finding the best job has never been easier

Limitless High-tech career opportunities - Expoint

SAP Regular MLOps Engineer 
Bulgaria, Burgas 
328442283

04.07.2024

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