Robert Half is actively partnering with an Austin-based client to identify an AI Engineer (contract). In this role, you will be responsible for creating, implementing, and optimizing AI and machine learning solutions that improve engineering, operations, and enterprise workflows. This role serves as a connection point between advanced technology and real-world application, ensuring AI initiatives deliver measurable business value. The ideal candidate brings strong technical depth in AI/ML along with experience working in data‑rich, process‑driven environments. This role is onsite in Austin, Tx.
The full job description covers all associated skills, previous experience, and any qualifications that applicants are expected to have.
Key Responsibilities:
- Develop and deploy AI/ML models for automation, predictive insights, and generative applications.
- Transform experimental prototypes into scalable, production-ready systems using tools such as TensorFlow, PyTorch, or Scikit-learn.
- Partner closely with data engineering teams to build reliable data pipelines and scalable architectures.
- Apply ETL processes and big-data technologies to clean, structure, and prepare datasets for modeling.
- Deploy AI solutions on cloud platforms (e.g., Azure machine learning services, Databricks) and integrate them into existing digital environments.
- Implement MLOps best practices across model lifecycle management, monitoring, and iteration.
- Collaborate with cross-functional teams—including engineering, IT, and business operations—to ensure AI solutions align with organizational goals.
- Translate complex AI concepts into clear, accessible explanations for non-technical audiences.
- Ensure all AI systems comply with organizational standards for security, governance, and responsible use.
- Maintain thorough documentation covering model assumptions, architecture, and decision-making processes.
- Stay up to date with emerging AI innovations, including agent-based systems and multimodal models.
- Contribute to internal innovation programs and AI-focused centers of excellence.
Qualifications:
- Bachelor’s degree in Computer Science, Data Science, Engineering, or a related technical field (Master’s preferred).
- 5+ years of hands-on AI/ML development experience
- Proficiency in Python and leading AI/ML libraries (TensorFlow, PyTorch).
- Experience working with cloud ecosystems such as Azure and platforms like Databricks.
- Knowledge of MLOps methodologies, including containerization (Docker/Kubernetes) and CI/CD practices.
- Experience working with engineering or complex operational workflows is beneficial.
- Excellent communication, analytical, and teamwork skills.
- Familiarity with Generative AI, large language models, and retrieval‑augmented systems.
- Experience with predictive analytics, knowledge graph technologies, and agentic AI architectures. xsgimln
Contract Benefit Offerings:
- Healthcare (medical, dental, and vision plans)
- 401(k) and retirement plans
- Commuter benefits
- Employee and vendor discounts
- Employee Assistance Program (EAP)
- And many more!