Artificial Intelligence; AI Engineer Washington, DC

Artificial Intelligence (AI) Engineer

The Artificial Intelligence Engineer is responsible for developing and implementing cutting-edge AI solutions and models to solve complex problems and drive innovation at the firm. This includes working with the legal practices and business departments to support and improve their delivery of services by conceptualizing, developing, delivering, and supporting innovative solutions with a focus on AI and related technologies. The Artificial Intelligence Software Engineer works closely with other technical resources across Information Services (IS) to successfully manage the execution of AI projects, including project definition, requirements gathering, task planning, technical solution development, testing, support, and stakeholder management.

Also responsible for supporting the creation of best practices for the development, maintenance, and use of AI solutions, assessing AI-related COTS solutions, as well as assisting end users to create prompts to optimize the effectiveness of the Large Language Models (LLM) solutions.

· Proficient in Python and have experience with machine learning libraries and frameworks such as Tensor Flow or PyTorch,

· Experience building recommendation models.

· Strong knowledge of data structures, algorithms, and software engineering principles.

· Familiar with cloud-based platforms and services, such as Azure or AWS.

· Demonstrated ability  technologies using C# as well as related modern development languages and frameworks such  Core, ASP.NET Core, REACT, etc.

· Strong SQL skills, the ability to write complex, efficient queries against extremely large data sets is highly desirable.

· Demonstrated ability to develop software/code (following firm standards) directly applicable to technology encompassed in assigned applications.

· Experience with adherence to a Software Development Methodology like SCRUM and Dev Ops practices and tools like Git Hub, Azure Dev Ops or other such tools and methodologies.

· Excellent problem-solving skills, with the ability to think critically and creatively to develop innovative solutions.

· Willingness and ability to learn and use new technologies as the need arises.

· Ability to work effectively with both users and technical staff in team-oriented environments.

· Good oral and written communication skills and interpersonal skills including the ability to effectively communicate technical information to both technical and non-technical personnel.

· Ability to work successfully and independently in an atmosphere of multiple projects, shifting priorities, and deadline pressures.

· A strong background in machine learning, deep learning, natural language processing, and software engineering is preferred. Experience working with large-scale language models such as GPT-3/4, BERT, Dolly, LLaMA, PaLM2, etc.

· Hands-on experience with LLMs fine-tuning is a plus.

· Experience with natural language processing (NLP) techniques and tools, such as Spa Cy and/or NLTK is a plus.

· The ability to be self-directed and learn new technologies quickly is also paramount as the AI technology landscape continues to change rapidly.

• 1-2 years' experience delivering solutions with at least one of the following:
  Tensor Flow, Pytorch, BERT and/or ChatGPT 3
• 2-3 years of experience in applications and services integration and/or development, with significant specialization in one or more areas of the above-mentioned areas of technology
• 4-5 years of applications web development experience using C# with  Framework or NET CORE a plus
• Experience with the following is a big plus but not required:
  Microsoft Office 365, Microsoft Graph, Messaging (Rebus, NServiceBus)

Education

• Bachelor's Degree preferred. Equivalent experience may be considered in lieu of education requirements.