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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