AI Engineer, Legal Tech & Innovation

WilmerHale

Boston (MA)

Híbrido

USD 135.000 - 169.000

Jornada completa

14 días+

Una candidatura completa en un minuto

Currículum y carta de presentación personalizados, listos para enviar.

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Descripción de la vacante

WilmerHale in Boston seeks an Artificial Intelligence Engineer to develop and implement AI solutions across the firm’s practices and business units. You will collaborate with IS teams to deliver innovative AI initiatives, define project requirements, and ensure robust governance and documentation.

Responsibilities include researching generative AI, optimizing models, mentoring teammates, and communicating complex concepts to both technical and non-technical stakeholders.

Formación

  • Experience delivering AI/ML solutions in a professional setting.
  • Ability to translate business problems into technical requirements.
  • Strong communication with both technical and non-technical stakeholders.

Responsabilidades

  • Define AI project use cases and requirements aligned with business goals.
  • Research and integrate cutting-edge generative AI, ML, and DL techniques.
  • Optimize models for performance and scalability.
  • Create technical specifications, user guides, and presentations.
  • Establish AI development best practices within the organization.
  • Explain technical issues to non-technical stakeholders.
  • Provide support and enhancements for AI solutions.
  • Mentor teammates and deliver end-user training.

Conocimientos

Python
TensorFlow/PyTorch
Machine learning
NLP/LLMs
SQL
Cloud platforms (Azure/AWS)

Educación

Bachelor’s Degree preferred

Herramientas

C#
NET Core
ASP.NET Core
REACT
GitHub / Azure DevOps
SQL Databases

Descripción del empleo

WilmerHale in Boston seeks an Artificial Intelligence Engineer to develop and implement AI solutions across the firm’s practices and business units. You will collaborate with IS teams to deliver innovative AI initiatives, define project requirements, and ensure robust governance and documentation.

Responsibilities include researching generative AI, optimizing models, mentoring teammates, and communicating complex concepts to both technical and non-technical stakeholders.

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