Federal AI Engineer
About The Position
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. M9 Solutions is dedicated to providing IT services and solutions to the Federal Government by mobilizing the right people, skills, clearance levels, and technologies to help organizations that desire improved performance and modern, sustainable change. M9 has provided quality IT services and support to more than 30 Federal Agencies and multiple commercial customers nationwide. Our capabilities include IT Talent Solutions, Data Delivery & Analytics, Cyber Security, Cloud Migration, Applications and Infrastructure, Software Development, and Finance & Accounting.
Requirements
- 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 firm engagements.
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.
Benefits
- Competitive compensation package
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What This Job Offers
Job Type
Full-time
Career Level
Senior
