Holland & Knight is seeking an Applied AI and Data Sciences Engineer to support the development and management of applied data sciences and artificial intelligence (AI) tools, platforms, projects, engagements, and related processes to achieve the highest standards of performance and success.
Requirements
- 2+ years’ experience working as a data sciences professional and experience in applying AI tools and techniques towards successful product outcomes.
- Direct experience working with GenAI, LLM fine-tuning, knowledge graphs, and related tools and techniques.
- Expert proficiency in SQL, Apache Spark, Python, Microsoft Azure Data Factory, Microsoft Fabric, and related products and platforms.
- Expert proficiency with common AI and ML applications, data mining and statistic tools, scripting, and programming experience desired.
- Expert proficiency in cloud data platforms, data sciences, and application development.
- Expert proficiency working with MS Office and Power platform especially for analyzing and communicating data-related concepts.
- Proficiency with cybersecurity best practices and compliance requirements in the legal industry and for clients such as financial and governmental institutions.
Responsibilities
- Support the design, development, and support of applied data sciences and AI program, including inception-to-adoption of the firm’s custom AI solutions and projects.
- Engage IT staff, vendors, and other third parties to address system-level technical issues, manage internal and external integrations, and implement upgrades and enhancements.
- Collect and communicate success metrics to measure the quality and quantity of data used within, and developed by, data sciences and AI tools, as well as the performance of our AI solutions against industry benchmarks.
- Develop standard configuration documentation and related guides for data consumers.
- Collaborate to design end-user training, onboarding, and user adoption programs and communications.
- Consult on the evaluation of vendor products for interoperability, security, and functionality.
- Special projects and duties as assigned.
Other
- Ability to develop effective and collaborative relationships.
- Champion for governance, change management, process improvement, user adoption, and the constant evolution of complex data strategies and needs.
- Excellent written and verbal communication skills.
- Excellent organizational, teamwork, customer service and critical thinking skills required.
- Demonstrated ability to manage multiple complex assignments with competing deadlines and priorities.
