Job summary
Job post source
This job is directly from Radiant Digital
Job overview
The Artificial Intelligence Engineer/Agentic Data Engineer role at Radiant Digital involves leading advanced data science projects and applying AI and machine learning techniques to support government and industry clients.
Responsibilities and impact
The role requires performing research, communicating analyses, gathering business requirements, mentoring junior team members, and working with Big Data frameworks and machine learning models to improve data-driven solutions.
Experience and skills
Candidates must have 10+ years leading data science projects, a Ph.D. in a STEM field, proficiency in Python or R, knowledge of SQL, experience with Spark, Databricks, training LLMs, and GIS spatial data, along with strong research publication credentials.
Company information
Radiant Digital provides IT solutions and consulting to government agencies and businesses across multiple regions, focusing on data improvement and application modernization.
Job location and travel
The position is hybrid based in Richmond, VA 23219, combining remote and on-site work.
Company overview
Radiant Digital is a global consulting firm specializing in digital transformation, IT services, and business solutions. They generate revenue through a diverse portfolio of services, including software development, data analytics, and enterprise solutions tailored to various industries. Founded in 2016, Radiant Digital has rapidly expanded its footprint by leveraging cutting-edge technologies and a client-centric approach, making significant strides in sectors like healthcare, finance, and government. Their commitment to innovation and quality has positioned them as a trusted partner for organizations seeking to navigate the complexities of the digital age.
How to land this job
Tailor your resume to highlight your extensive experience leading data science projects and teams, emphasizing your 10+ years in the field and your role in mentoring junior members to showcase leadership capabilities.
Focus on showcasing your advanced proficiency in Python and/or R, experience with Big Data frameworks like Spark and Azure Databricks, and your expertise with supervised and unsupervised learning, model selection, and feature engineering.
Apply through multiple platforms including Radiant Digital's corporate career site and LinkedIn to maximize your application's visibility and ensure you don't miss any opportunity.
Connect on LinkedIn with professionals in Radiant Digital's AI or Data Engineering divisions; start conversations by referencing recent projects they've shared or asking about their experience working on federal government contracts to build rapport.
Optimize your resume for ATS by incorporating keywords from the job description such as 'Artificial Intelligence Engineer,' 'Agentic Data Engineer,' 'Spark,' 'Azure Databricks,' 'LLM training,' 'GIS spatial data,' and 'Python/R proficiency' to pass automated screenings effectively.
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