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Forward Deployed AI Engineer - WTW
AI Engineer
Forward Deployed AI Engineer crafting end‑to‑end AI solutions for Health, Wealth & Career, blending Python, ML, AWS, data engineering and NLP to translate stakeholder needs into scalable, production‑ready systems that drive measurable business impact.
About the role
Key Responsibilities
- Design, develop, and deploy AI models and pipelines using Python, ML frameworks, and AWS services.
- Collaborate with cross‑functional stakeholders to translate ambiguous business problems into technical specifications.
- Integrate AI solutions into existing enterprise workflows and systems, ensuring seamless adoption.
- Own the full lifecycle: architecture, build, testing, deployment, monitoring, and continuous improvement.
- Advise on data strategy, feature engineering, and model governance to meet regulatory and quality standards.
Requirements
- Strong experience in Python and machine learning libraries (TensorFlow, PyTorch, scikit‑learn).
- Proficiency with AWS services (SageMaker, Lambda, S3, Glue) and CI/CD pipelines.
- Background in data engineering, ETL, and working with large datasets.
- Knowledge of NLP techniques and tools for text‑based applications.
- Excellent communication skills and ability to work in a fast‑paced, collaborative environment.
Skills
pythonmachine learningawsnlp