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) #TECHIND