Company Description
Govini transforms Defense Acquisition from an outdated manual process to a software-driven strategic advantage for the United States. Our flagship product, Ark, supports Supply Chain, Science and Technology, Production, Sustainment, Logistics, and Modernization teams with AI-enabled Applications and best-in-class data to more rapidly imagine, develop, and field the capabilities we need. Today, the national security community and every branch of the military rely on Govini to enable faster and more informed Acquisition decisions.
Job Description
We are seeking a Machine Learning Engineer to join our team to build cutting-edge machine learning technologies that will replace complex, time-consuming, manual processes with automation and intelligence that will help Govini end-users make scientific and analytical decisions. We're looking for world-class talent to join our team where you will have the opportunity to help develop solutions from data collection to large-scale data manipulation to long-term data storage and low-latency retrieval, reporting, and analytical systems to solve big data problems that drive business performance.
In order to do this job well, you must be a curious and eager problem solver with a hunger for building well-designed, high-quality solutions. You have a passion for great work and nothing less than your best will do. You share our intolerance of mediocrity. You’re uber-smart, challenged by figuring things out and producing simple solutions to complex problems. Knowing there are always multiple answers to a problem, you know how to engage in a constructive dialogue to find the best path forward. You’re scrappy. We like scrappy.
This role is a full-time position located out of our office in Pittsburgh, PA.
This role may require up to 10% travel
Scope of Responsibilities
Actively create, architect, and deliver state-of-the-art machine learning solutions designed to add intelligence to our data analysis and software-as-a-service platformEstablish meaningful criteria for evaluating algorithm performance and suitabilityDevelop clear software specifications for implementing trained modelsImplement working, scalable, production-ready Machine Learning and AI Process Automation models and codeOptimize processes for maximum speed, performance, and accuracyParticipate in the end-to-end software development of new feature functionality and design capabilitiesCraft clean, testable, and maintainable codeKeep up to date with Machine Learning best practices and evolving open-source frameworksRegularly seek out innovation and continuous improvement, finding efficiency in all assigned tasksCollaborate closely with fellow software engineers, data scientists, data engineers, and QA engineers
Qualifications
US Citizenship is required
Required Skills:
Bachelor's, Master’s, or Doctorate in Computer Science, Computer Engineering, Data Science, or a related fieldMinimum 3 years experience in hands-on development of machine learning modelsPractical experience in building, developing, and productionizing machine learning systemsAdvanced software skills in PythonExperience with common NLP algorithms and implementationsHands-on experience with AWS and cloud infrastructureA strong desire to learn and investigate new technologiesFamiliarity with Git source control managementPrior hands-on experience working with data-driven analyticsAbility to work collaboratively with little supervisionA burning desire to work in a challenging fast-paced tech environment
Desired Skills:
Current possession of a U.S. security clearance, or the ability to obtain one with our sponsorshipExperience in or exposure to the nuances of a startup or other entrepreneurial environmentTrack record of implementing data-driven products Experience in or exposure to the nuances of a startup or other entrepreneurial environmentExperience in deploying ML models in Kubernetes environments2 years of experience developing and deploying modern NLP models
