AI Application Architect

Qualifications

• Python 1-3+ years production experience, this is your primary language
• AI/ML Production - Built and deployed 1-3+ ML models serving real users, not just experiments
• Cloud Platforms - Experience with AWS, Azure, Google Cloud Platform, or OCI for deploying and managing ML workloads
• We leverage AI/ML tools across all major cloud providers (Azure AI, AWS SageMaker/Bedrock, Google Cloud Platform Vertex AI, OCI AI Services)
• DevOps - Docker and Kubernetes experience
• Databases - SQL (PostgreSQL, MySQL) and NoSQL/vector databases
• Scripting - Proficient in both Bash and PowerShell for automation
• Command Line Interface (CLI) 1-3+ years production experience working in CLI terminal

Responsibilities

• Important Note : This role requires onsite work 4 5 days per week
• Gather and document AI solution requirements from business stakeholders
• Develop AI proof-of-concepts and transition successful prototypes into production systems
• Design and implement scalable AI pipelines for enterprise applications
• Train, fine-tune, and validate AI/ML models for optimal performance
• Write clean, efficient software code and scripts for AI workflows
• Conduct rigorous testing and quality assurance of AI models and outputs
• Ensure compliance with organizational IT governance, security, and audit standards

Full Description

Title: AI Engineer

Location: Austin, TX

Duration: 12 months with possible extension

Important Note : This role requires onsite work 4 5 days per week.

Texas local candidates only.

DESCRIPTION OF SERVICES:

• Gather and document AI solution requirements from business stakeholders.

• Develop AI proof-of-concepts and transition successful prototypes into production systems.

• Design and implementscalable AI pipelines for enterprise applications.

• Train, fine-tune, and validate AI/ML models for optimal performance.

• Write clean, efficient software code and scripts for AI workflows.

• Conduct rigorous testing and quality assurance of AI models and outputs.

• Ensure compliance with organizational IT governance, security, and audit standards.

Minimum Qualifications

• Python 1-3+ years production experience, this is your primary language

• AI/ML Production - Built and deployed 1-3+ ML models serving real users, not just experiments

• Cloud Platforms - Experience with AWS, Azure, Google Cloud Platform, or OCI for deploying and managing ML workloads.

We leverage AI/ML tools across all major cloud providers (Azure AI, AWS SageMaker/Bedrock, Google Cloud Platform Vertex AI, OCI AI Services)

• DevOps - Docker and Kubernetes experience

• Databases - SQL (PostgreSQL, MySQL) and NoSQL/vector databases

• Scripting - Proficient in both Bash and PowerShell for automation

• Command Line Interface (CLI) 1-3+ years production experience working in CLI terminal.

Preferred Qualifications

• CI/CD Experience: Azure DevOps, GitHub Actions, Jenkins, or similar automation pipelines

• Computer Vision: Production CV experience with PyTorch/TensorFlow, OpenCV, object detection, segmentation, or real-time inference

• Additional Languages: Go or Rust experience for performance-critical components

• Feature stores (Feast, Tecton) or advanced feature engineering

• Model optimization: quantization, pruning, knowledge distillation

• Edge deployment or resource-constrained model deployment

• Experiment frameworks for A/B testing ML models

• Contributions to open-source ML projects

• Real-time streaming data processing (Kafka, Kinesis)

For applications and inquiries, contact: hirings@openkyber.com