Imagine One is searching for a Lead Artificial Intelligence (AI) Engineer. The Lead AI Engineer will be responsible for leading a team in the design and implementation of data-driven solutions for Enterprise Information Technology programs.
Key terms: Digital Monitoring, Artificial Intelligence Operations (AIOps), Machine Learning (ML), Knowledge Management (KM), Knowledge Base (KB), Data Analytics (DA), Business Analytics (BA), Business Intelligence (BI), Cloud Integration, Software as a Service (SaaS), online analytical processing (OLAP)
MS Computer Science, Data Science, Engineering, Physics, Mathematics or related field (Required). PHD preferred.
12 Years of experience performing tasks applying the following technologies or principles for Enterprise IT Systems:
Experience with AI programing languages and tools, architectures and data modeling.
Experience with enterprise data management, migration, and conversion
Uses scientific methods, processes, algorithms and systems to extract knowledge and insights from data in various forms, both structured and unstructured.
Uses statistics, data analysis, machine learning and related methods to understand and analyze actual phenomena with data.
Employs techniques and theories drawn from many fields within the context of mathematics, statistics, information science, and computer science.
Applies data-driven paradigms to information technology enterprises
Applies principles of management and utilization of resources resulting in successful data-science and big-data projects.
Designs solutions and performs business analytics (BA). Performs continuous iterative exploration and investigation of past business performance to gain insight and drive business planning.
Designs solutions and uses BA to develop new insights and understanding of business performance based on data and statistical methods.
Designs solutions and uses metrics to measure past performance as well as guide business planning based on data and statistical methods to support business intelligence (BI), including querying, reporting, online analytical processing (OLAP), and alerts to answer questions such as what happened, how many, how often, where the problem is, and what actions are needed.
Designs solutions and applies BA techniques related to management science, statistical analysis, explanatory modeling, predictive modeling, and fact-based management to drive human or automated decision making.
Designs solutions and applies BA methods to answer questions like why is this happening, what if these trends continue, what will happen next (predict), and what is the best outcome that can happen (optimize).
Designs solutions and implements knowledge base (KB) technologies used to store complex structured and unstructured information used by an enterprise’s IT system.
Designs solutions and implements multi-layered technology platforms that automate and enhance IT operations by using analytics and machine learning to analyze big data collected from various IT operations tools and devices, to automatically spot and react to issues in real time manifesting AI Operations (AIOps).
Designs and implements AIOps solutions by incorporating technologies related to automation, AI, ML, domain algorithms, rules and patterns, real time processing, monitoring, and data source integration.
Imagine One offers a full package of benefits and competitive salary, excellent group medical, vision and dental programs. 401K savings plan; $4K annual tuition reimbursement ($5K if pursuing Master’s degree); employee training, development and education programs; profit sharing; advancement opportunities; and much more! Imagine One is an Employee Owned Company!
IMAGINE ONE is an Affirmative Action, Equal Opportunity Employer
*Imagine One “Contingent” offers for employment may stipulate that one or more requirements be satisfied before final commitment between candidate and Imagine One is established; namely, award of contract to the Imagine One Team. Contingent requirements vary and may also include, but not be limited to additional factors (i.e., the position still being available after negotiations with the Government; final approval of your qualifications by the Government; or ability to successfully acquire and/or transfer a DoD security clearance).