Data Driven | MLOps Engineer

Data Driven | MLOps Engineer will ensure the quality of AI solutions lifecycle, collaborate with the AI Tech Lead, and develop, deploy, maintain, and improve AI-powered applications and ML pipelines.

Requirements

• Fluency in one at least one OOP language such as C# or Java
• Experience with common data science languages, such as Python or R
• Clear understanding of the machine learning project lifecycle
• Proficiency with open-source tools, such as Jenkins
• Experience with AWS Cloud Platform
• Proficiency in using query languages such as SQL, Spark SQL, etc.
• Experience with container technologies like Docker and Kubernetes
• Experience with software build and release processes, unit testing, version control, etc.
• Experience using Git source control
• A passion for ML/AI
• A collaborative and can-do attitude
• Excellent written and verbal communication skills, comfortable with audiences including product and engineering management

Benefits

• Job for people with disabilities welcome
• Equal opportunities
• Diversity and inclusion