Description

You will design, implement, and maintain an MLOps platform for real-time AI and advanced analytics applications.

Responsibilities

• Design and maintain an MLOps platform optimized for real-time AI and advanced analytics.
• Develop automated pipelines for model training, validation, deployment, and monitoring.
• Integrate the MLOps platform with existing data sources, data lakes, and data warehouses.
• Collaborate with data scientists and IT teams to streamline model deployment and monitoring.
• Ensure platform scalability, reliability, security, and provide support for production environments.

Required Skills

• 5+ years of experience as an AI Engineer with a background in full stack development.
• Hands-on experience building and maintaining MLOps platforms, specifically for on-premises deployments.
• Proficiency in Python and JavaScript/TypeScript.
• Experience with containerization and orchestration using Docker and Kubernetes.
• Working knowledge of CI/CD tools such as Jenkins, GitLab CI, or CircleCI.
• Strong understanding of DevOps practices and data engineering, including ETL processes.
• Experience with SQL and NoSQL databases like MongoDB or Cassandra.
• Familiarity with real-time data processing frameworks like Apache Kafka or Apache Flink.
• Bachelor's degree in Computer Science or equivalent professional experience.

Preferred Skills

• Experience with MLOps tools including MLflow, Kubeflow, or TFX.
• Knowledge of monitoring and logging tools such as Prometheus, Grafana, or ELK stack.
• Experience with SCADA systems, BESs, or Alteryx.
• Web development experience with React, Angular, or Vue.js.

Key Skills

Education

Bachelor's degree in Computer Science