Position: DevOps Engineer (ML) in Kracow
Company: Job Advice Agency
Category: DevOps
Experience required: 5y
English level: intermediate
Published: 2023-01-01T00:00:00+02:00

Responsibilities:
·       Work with the Product Owner and Business Analyst to understand stakeholder requirements
·       Responsible for optimizing and improving infrastructure
·       Build and maintain the production infrastructure for machine learning models
·       Work with Data Scientists to productionise proactively developed analytics
·       Ensure that development is undertaken in line with continuous integration and test-driven development philosophies and that code quality standards and processes are adhered to.
·       Work with Architects to both validate designs and ensure adherence to the agreed approach
·       Carry out unit testing to ensure the quality of delivered components
 
 
Core Skills / Characteristics:
·       Education background in Computer Science field
·       Career background in technology with 5+ years of experience in object-oriented software development
·       Experience in Machine learning and/or AI experience
·       Excellent knowledge in DevOps practices, CI/CD
·       Familiarity with CI/CD tools – Jenkins & Ansible
·       Good understanding of Data Science, ETL process and Python
·       Experience with UNIX-based systems and shell scripting
·       Understanding of data handling (databases, object storages, SQL/noSQL)
·       Familiarity with version-control management – Git
·       Ability to understand complex products, problems and solutions
·       Ability to work independently including evaluating different solutions to a problem
·       Communication on high level of proficiency and technical expertise with very good collaboration and interpersonal skills
 
Nice to have:
·       Python skills with practical knowledge of relevant libraries TensorFlow, Pandas, NumPy, scikit-learn would be an advantage
·       Containerization and cloud knowledge
·       Familiarity with ELK monitoring stack