Description

You will design and deliver AI/ML Platform-as-a-Service solutions, including GenAI capabilities, within hybrid cloud environments.

Responsibilities

• Develop and implement hybrid cloud architectures using IaaS, PaaS, and SaaS models.
• Drive strategy and roadmap for data analytics and AI platform evolution.
• Ensure high availability and disaster recovery for platform services.
• Integrate AI/ML and Generative AI technologies into production systems.

Required Skills

• 5+ years of experience in software engineering or platform architecture.
• Strong proficiency in Python and Java.
• Experience with Kubernetes and CI/CD pipelines.
• Hands-on experience with cloud platforms: AWS, GCP, or Azure (GCP preferred).
• Knowledge of Big Data ecosystems: Hadoop, Spark, and Cloudera.
• Understanding of AI/ML and Generative AI technologies.
• Experience with platform architecture, high availability, and disaster recovery.

Key Skills

Education

Any Gradute