onsite
AI Workflow Lead
Software Engineer
Lead the design and deployment of AI‑driven workflows, leveraging Python, machine learning, NLP, and cloud automation to streamline legal processes and deliver actionable insights.
About the role
Key Responsibilities
- Architect and implement end‑to‑end AI workflows that automate document review, contract analysis, and knowledge extraction.
- Collaborate with legal and technical teams to define data pipelines, model requirements, and performance metrics.
- Develop and maintain production‑grade ML models using Python, scikit‑learn, and NLP libraries, ensuring scalability on AWS.
- Integrate AI services into existing legal tech stacks, providing user‑friendly interfaces and dashboards.
- Monitor model performance, conduct bias audits, and iterate on solutions to meet evolving business needs.
Requirements
- 5+ years of experience in AI/ML engineering with a strong Python foundation.
- Proven track record of deploying NLP models in production environments.
- Hands‑on experience with cloud platforms (AWS, Azure, or GCP) and CI/CD pipelines.
- Excellent communication skills and ability to translate technical concepts to non‑technical stakeholders.
- Strong problem‑solving mindset and a passion for continuous learning.
Skills
pythonmachine learningnlpaws