remote
AI & Automation Engineer - Thomson Reuters
QA Engineer
Lead the design and deployment of intelligent automation solutions that transform complex manual workflows into streamlined, end‑to‑end AI‑powered systems, leveraging Python, data engineering, and advanced machine learning techniques.
About the role
Key Responsibilities
- Analyze and redesign existing operational processes to identify opportunities for deterministic automation, agentic AI, or hybrid solutions.
- Build and deploy end‑to‑end intelligent systems using Python, data pipelines, and machine learning models.
- Integrate RPA tools and AI services to replace fragmented manual tasks with scalable, automated workflows.
- Collaborate with cross‑functional teams to ensure solutions meet business objectives and compliance standards.
- Monitor, evaluate, and iterate on deployed systems to improve performance, accuracy, and user experience.
Requirements
- Proven experience in Python development and data engineering.
- Strong background in machine learning, AI system design, and automation (RPA).
- Hands‑on experience with cloud platforms (AWS, Azure, or GCP) and CI/CD pipelines.
- Excellent problem‑solving skills and ability to translate business needs into technical solutions.
- Effective communication skills for collaborating with stakeholders across technical and non‑technical domains.
Skills
pythonmachine learning