Description

You will support the delivery and scaling of AI model infrastructure across on-premises and cloud environments.

Responsibilities

• Deliver AI models to on-premises infrastructure and cloud platforms including GCP Vertex AI and Azure ML.
• Develop Generative AI platform capabilities and execute on technical roadmaps.
• Perform hardware and capacity planning, analysis, and forecasting to ensure high availability and scalability.
• Research industry best practices to develop engineering standards that improve automation and platform resiliency.
• Act as a technical expert for other teams within the organization.

Required Skills

• 5+ years of Python experience.
• 5+ years of Big Data experience using BigQuery and Hadoop.
• 5+ years of Linux OS capabilities.
• 3+ years of PySpark experience.
• 3 years of experience in AI/ML (MLOps).
• 3+ years of experience with VMware virtualization technologies.
• Working knowledge of Auto ML technologies such as H2O Driverless AI, DataRobot, VertexAI, Elastic, and Vector DB.
• Knowledge of designing grid computing with CPU and GPU to support AI/ML and NLP.
• Understanding of high-performance storage, object storage, and network infrastructure for high-throughput, low-latency computing.

Preferred Skills

• 1+ year of experience in LLM and Generative AI development or DevOps.
• Experience developing APIs on GCP, Azure, or API Gateways.
• Experience with data processing tools like AbInitio, Informatica, or IBM DataStage.
• Experience with IaC tools such as Terraform or Ansible.
• Experience with Kubernetes, Docker, or Cloud Foundry.

Key Skills

Education

Any Graduate