Responsibilities

• Design and develop end-to-end data analytics and MLOps solutions using open-source tools.
• Collaborate with cross-functional teams to enhance workflows and improve data governance.
• Implement and optimize ETL processes to ensure data quality and availability.
• Work with machine learning frameworks such as Kubeflow, MLFlow, DVC, and Feast.
• Participate in code reviews, ensuring code quality and adherence to best practices.
• Engage with the community to contribute to open-source projects and share knowledge.
• Continuously learn and implement new technologies and methodologies relevant to data and AI.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field.
• Proven experience in Python programming and Kubernetes orchestration.
• Strong understanding of data processing, analytics, and machine learning concepts.
• Experience with ETL tools and data visualization technologies.
• Familiarity with open-source machine learning tools and frameworks.
• Excellent problem-solving skills and a proactive attitude.
• Ability to work effectively in a remote environment and collaborate with a global team.

Benefits

• Flexible working hours and the option to work from anywhere.
• Competitive salary and performance-based bonuses.
• Opportunities for professional growth and development.
• Generous vacation policy and paid time off.
• Access to a vibrant community of open-source professionals.
• Regular team meetings in exciting locations around the world.
• Comprehensive health benefits and wellness programs.