Jr. Federal AI Engineer

M9 Solutions is seeking a Jr. 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

• Support the planning and execution of data/AI engagements, including defining objectives, developing key deliverables, identifying potential risks in data, modeling, validation, and delivery activities.
• Participate in workshops and innovation sessions with client, multi-disciplinary, and cross-functional teams to help identify business opportunities, define problem statements, and design high-level analytical solutions.
• Work with senior team members and client to discover data sources and develop data requests; support data discovery and ETL/ELT processes to ingest structured data and 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).
• Support the creation of analytics and machine learning models through all phases of development, from design through training, evaluation, validation, implementation, and delivery.
• Work effectively in a fast-paced/dynamic environment utilizing virtual and face-to-face interactions; support project work streams, deliverables, timelines, and client expectations.
• Assist with defining, monitoring, and reporting key business metrics to management; support the design, implementation, and management of reporting processes/dashboards.
• Collaborate with Senior Associates and other team members on technical delivery, analysis, documentation, testing, and client deliverables.

Required Skills and Qualifications

• Active Secret security clearance.
• One to three 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.
• Understanding of data preparation approaches and machine learning algorithms.
• Knowledge/experience performing data science activities including data discovery, cleaning, model selection, validation, and deployment.
• Experience coding artificial intelligence methods using object-oriented programming in software development processes, including the 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 / Cassandra, 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 engagements.

GH 1032