onsite
AI Engineer / Forward Deployed Engineer - WTW
AI Engineer
Lead the design, build, and deployment of production‑grade AI solutions that solve complex enterprise problems, integrating data sources, cloud services, and stakeholder workflows using Python, ML, and AWS.
About the role
Key Responsibilities
- Translate ambiguous business requirements into scalable AI‑enabled workflows and production‑grade solutions.
- Design and implement end‑to‑end pipelines that integrate enterprise data sources, APIs, and cloud services.
- Collaborate closely with business stakeholders, data scientists, and DevOps to ensure seamless delivery and operational stability.
- Own the full lifecycle of AI models: data preparation, training, validation, deployment, monitoring, and continuous improvement.
- Implement robust CI/CD pipelines and observability practices for AI services on AWS.
Requirements
- Strong programming skills in Python and experience building production ML systems.
- Hands‑on experience with AI solution architecture, model deployment, and cloud platforms (AWS preferred).
- Proficiency in data integration, ETL, and working with relational and NoSQL databases.
- Solid understanding of CI/CD, containerization (Docker), and orchestration (Kubernetes or ECS).
- Excellent communication skills and ability to work cross‑functionally with business and technical teams.
Skills
pythonmachine learningawscicd