Artificial Intelligence Machine Learning Engineer I Closes 3 24

Additional Information

• Must be authorized to work in the U.S. without sponsorship
• This role requires collaboration across multiple teams in a fast-paced environment
• This is a long-term contract opportunity in Austin, TX.
• Candidates need to be local-- will be onsite 4-5 days per week.

Overview

We are seeking an AI/ML Engineer to design, develop, and deploy scalable AI solutions that enhance operational workflows and system performance. This role will work cross-functionally with engineering, data, and business teams to deliver AI-driven applications from concept through production. In order to be considered, candidates
must
meet minimum required qualifications listed below.

Key Responsibilities

• Gather and translate business requirements into AI/ML solutions
• Develop proof-of-concepts and transition successful models into production
• Design and implement scalable AI pipelines and workflows
• Train, fine-tune, and validate machine learning models
• Write clean, efficient code to support AI development and automation
• Perform testing, validation, and quality assurance of AI outputs
• Collaborate with cross-functional teams including engineering, data, and infrastructure
• Communicate progress, risks, and outcomes to stakeholders
• Ensure solutions align with security, governance, and compliance standards
• Promote best practices, reusable components, and continuous improvement

Required Qualifications

• 5+ years of experience supporting engineering design/CADD tools in an enterprise environment
• 5+ years of experience in software implementation, packaging, and deployment
• Strong experience supporting technical end users and troubleshooting complex systems
• Ability to analyze workflows and recommend improvements across hardware/software environments
• Excellent communication skills and a strong, collaborative mindset
• Proven problem-solving skills with the ability to make sound, business-aligned decisions

Preferred Qualifications

• 1–3+ years of Python development in production environments
• Hands-on experience building and deploying AI/ML models for real-world use cases
• Experience with cloud platforms (AWS, Azure, GCP, or similar)
• Familiarity with containerization and orchestration (Docker, Kubernetes)
• Experience with SQL and NoSQL databases
• Scripting experience (Bash, PowerShell)
• Experience with CI/CD pipelines (GitHub Actions, Jenkins, Azure DevOps, etc.)

• Exposure to areas such as:

  • Computer vision or real-time inference
  • Streaming data (e.g., Kafka or similar tools)
  • Model optimization and deployment strategies
  • Experimentation frameworks (A/B testing)

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