Federal AI Engineer

M9 Solutions is seeking a Federal AI Engineer to work hybrid remote/onsite in support of a government contract for a client located in Ft. Belvoir, VA. An active Secret clearance is required.

Responsibilities

• Plan, lead, and execute delivery of data / AI engagements (including definition of objectives, key deliverables, mitigating risk in data, modeling, validation, delivery).
• Lead workshops and innovation sessions with clients, multi-disciplinary, and cross-functional teams to identify business opportunities, define problem statements, and design high-level analytical solutions.
• Work with client to discover data sources and create data requests; lead data discovery, ETL/ELT processes to ingest structured data/annotation processes to enrich unstructured data, leveraging a variety of data sources (social media, news, internal/external documents, images, video, voice, emails, financial data, and operational data).
• Oversee the creation of analytics and machine learning models through all phases of development, from design through training, evaluation, validation, implementation, to delivery.
• Lead in a fast-paced/dynamic environment utilizing virtual and face-to-face interactions; manage complex work streams, expectations, budgets, and deliverables.
• Define, monitor, and report key business metrics to management; design, implement, and manage various reporting processes/dashboards.

Required Skills and Qualifications

• Active Secret security clearance.
• A minimum of five years of Artificial Intelligence, Information Technology, and/or Data Science experience.
• Bachelor's degree from an accredited college/university.
• Experience utilizing analytics/software development processes for natural language processing, machine learning on unstructured data, and/or information retrieval.
• Deep technical understanding of data preparation approaches and machine learning algorithms.
• Knowledge/experience in data science, from data discovery and cleaning to model selection, validation, and deployment.
• Experience coding artificial intelligence methods using object-oriented programming in software development processes (ability to restructure, refactor, and optimize code for efficiency).
• Hands-on experience and knowledge in distributed computing architecture, massive-parallel processing big data platforms (Hadoop, MapReduce, HDFS, Spark, PySpark, Hive/Impala, H-Base / MongoDB / Casandra, and Teradata / Netezza / Redshift), mainstream cloud infrastructure (AWS, MS Azure, GCP, and their D&A-related microservices).
• Experience with Web/RESTful service development, HTML5, JavaScript / Angular / React / Redux.
• Experience with command-line scripting, data structures, and algorithms; ability to work in Linux and/or cloud environments; ability to write production-level code.
• Ability to travel as required to support client engagements.

GH 1031