Job Description

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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Govini transforms Defense Acquisition from an outdated manual process to a software-driven strategic advantage for the United States.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 platform
• Establish meaningful criteria for evaluating algorithm performance and suitability
• Develop clear software specifications for implementing trained models
• Implement working, scalable, production-ready Machine Learning and AI Process Automation models and code
• Optimize processes for maximum speed, performance, and accuracy
• Participate in the end-to-end software development of new feature functionality and design capabilities
• Craft clean, testable, and maintainable code
• Keep up to date with Machine Learning best practices and evolving open-source frameworks
• Regularly seek out innovation and continuous improvement, finding efficiency in all assigned tasks
• Collaborate 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 field
• Minimum 3 years experience in hands-on development of machine learning models
• Practical experience in building, developing, and productionizing machine learning systems
• Advanced software skills in Python
• Experience with common NLP algorithms and implementations
• Hands-on experience with AWS and cloud infrastructure
• A strong desire to learn and investigate new technologies
• Familiarity with Git source control management
• Prior hands-on experience working with data-driven analytics
• Ability to work collaboratively with little supervision
• A 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 sponsorship
• Experience in or exposure to the nuances of a startup or other entrepreneurial environment
• Track record of implementing data-driven products
• Experience in or exposure to the nuances of a startup or other entrepreneurial environment
• Experience in deploying ML models in Kubernetes environments
• 2 years of experience developing and deploying modern NLP models

We firmly believe that past performance is the best indicator of future performance. If you thrive while building solutions to complex problems, are a self-starter, and are passionate about making an impact in global security, we’re eager to hear from you.

Govini is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status or any other characteristic protected by law.

If you have questions about this posting, please contact support@lensa.com

Job Tags

Full time, Work at office,

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