Devops Engineer

• Strategic Planning: Maintain a focus on broader objectives, ask insightful questions, and balance strategic vision with effective planning and execution.
• Integration Insight: Develop a comprehensive understanding of software products from end to end. Avoid working in silos and approach problem-solving with enthusiasm and initiative.
• Innovative Development: Build rapid proofs of concept and demonstrations in collaboration with data scientists, engineers, and business stakeholders.
• Code Mastery: Deploy and maintain high-quality production code with minimal guidance. Refactor code for improved efficiency and ensure comprehensive documentation is provided for all processes.
• Platform Proficiency: Utilize your deep knowledge of version control tools like Azure DevOps, MLFlow, and the Azure cloud platform, including Databricks—to enhance the management of code and machine learning model lifecycles.
• Rapid Task Execution: Complete tasks with quick turnaround times and proactively follow up to ensure project continuity.
• Collaborative Learning: Engage closely with stakeholders, apply your machine learning expertise to feature engineering, and demonstrate a willingness to quickly learn and adopt new technologies.

What you will need to be successful:

• Bachelor / Master  degree in computer science, Engineering, or a related field.
• At least 7 years of programming experience in Python.
• Expertise with Azure DevOps, ML Flow, the Azure cloud platform, and Databricks.
• Proven track record in deploying and maintaining production-grade code.
• Excellent communication and collaboration skills.
• Ability to work independently with minimal supervision.
• Strong problem-solving abilities and a demonstrated eagerness to learn