Description

Lead the strategy and resolution of large-scale technical challenges requiring deep evaluation across the enterprise. Translate business objectives into scalable engineering solutions for applications, networks, and data systems.

Responsibilities

• Design and implement engineering solutions for complex business needs across the enterprise.
• Provide technical vision and expertise to leadership regarding significant business solutions.
• Recommend technical innovations and industry best practices to enhance operations.
• Articulate complex technical solutions to both engineering teams and business stakeholders.
• Support AI/ML initiatives using grid computing with CPU and GPU resources.

Required Skills

• 7+ years of overall engineering experience.
• 5+ years of Python experience.
• 5+ years of big data experience, specifically with BigQuery and Hadoop.
• 5+ years of Linux OS capabilities.
• 3+ years of MLOps experience.
• 3+ years supporting cloud infrastructures such as GCP or Azure.
• 3+ years of PySpark experience.
• 3+ years of experience with VMWare virtualization technologies.
• Experience building infrastructure programmatically using IaC tools like Terraform or Ansible.

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 Elasticsearch, Vector Databases, Run:AI, or Model Development.

Key Skills

Education

Any Graduate