Artificial Intelligence/Machine Learning Engineer

Hello, I hope this mail finds you well. Beacon Systems, Inc, delivers Program Management, Science, Engineering, and Technology Solutions to Federal, Commercial State, and Local Agencies. We are a subsidiary of Radiant Digital Solutions. Our Technology support to many DoD Agencies, NASA, Voice of America, FDA, and State Agencies such as State of FL, RI, MS, ND, VA, and WV extends our delivery of solutions worldwide. We are looking for a Artificial Intelligence/Machine Learning Engineer 2 If you are interested in applying for this requirement, please do respond with your updated resume. Job Title: Artificial Intelligence/Machine Learning Engineer 2 Client: Texas Department of Transportation Location: Austin, TX , hybrid minimum of four days a week Duration: 12+ months Minimum Years of Experience, Skills, and Qualifications • Strong Python, familiarity with Java / C++ / Go for production environments • Object-oriented programming & design patterns • Unit testing, CI/CD, Git, containerization (Docker) • Data pipelines (Airflow, Prefect, or cloud-native equivalents) • Model deployment (REST APIs, gRPC, serverless), monitoring, and versioning • AWS / Azure / GCP / OCI AI services • Cloud-native training/inference environments (SageMaker, Vertex AI, Azure ML) • Kubernetes for scalable inference TXDOT WORK TO BE ACCOMPLISHED: The AI Innovation team in ITD undertakes rapid development initiatives using AI/ML tools and platforms with the goal to drive business innovation at the Texas Department of Transportation. The worker’s responsibilities and skills must include: 1. Evaluate emerging AI trends, tools, and vendor solutions against business use-cases. 1. Run proof-of-concepts (PoCs) to test feasibility of new ideas. 1. Design and build applications and AI/ML models tailored to specific use cases (e.g., predictive analytics, natural language processing, computer vision) prioritized for the AI Program. 1. Create scalable AI pipelines that can be integrated into existing systems. 1. Collaborate with data, engineering, and software development teams.