Description

You will design, develop, and deploy scalable AI solutions, bridging the gap between data science models and production environments.

Responsibilities

• Design and engineer scalable AI solutions for production environments.
• Manage the full AI project lifecycle from ideation through to production release.
• Implement efficient data pipelines to ensure optimal performance.
• Collaborate with Data Science teams to industrialize and optimize AI models.
• Monitor and optimize production AI solutions to resolve technical criticalities.

Required Skills

• At least 1 year of experience engineering complex AI solutions from prototyping to production.
• Proficiency in Python and Apache Spark.
• Experience developing and managing Python-based microservices.
• Hands-on experience with DevOps and MLOps practices using tools like Jenkins or Azure DevOps.
• Cloud environment experience with at least one hyperscaler: AWS, Azure, or GCP.
• Knowledge of Kubernetes and/or OpenShift for container orchestration and deployment.
• Experience with the Ray framework for distributed computing.
• Familiarity with platforms such as Cloudera and/or Databricks.
• Experience developing Single Page Applications (SPA) using Angular, React, or Vue.js.

Preferred Skills

• Degree in Computer Science, Engineering, or an equivalent field.

Key Skills

Education

Any Graduate