Programming Skills: Advanced proficiency in Python, with experience in AI/ML frameworks.
Azure DevOps: Expertise in version control systems (e.g., Git) and Azure DevOps tools for automation and monitoring.
CI/CD Pipelines: Proven ability to design and implement continuous integration and deployment workflows.
Infrastructure as Code: Experience with ARM templates or Terraform for provisioning cloud infrastructure.
Containerization: Strong knowledge of Docker and Kubernetes for application deployment and orchestration.
Experience:
8+ years of experience in software development, with 3+ years in AI/ML or Generative AI projects.
Demonstrated experience in deploying and managing AI applications in production environments.
Proven track record of implementing DevOps best practices and automation strategies.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Data EngineerEmployement Type: Full time