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Job Location: Pittsburgh, PA
Job Detail:
Company Description
Govini is a decision science firm dedicated to transforming the business of national security through data science and machine learning. Through its National Security Knowledge Graph and Decision Science Platform, Govini delivers objective, decision-grade information at scale to the national security enterprise, so that leaders can better direct investments to innovation and modernization. Govini has offices in Arlington, Virginia, San Francisco, California, and Pittsburgh, Pennsylvania.
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.
This is a team member position, working onsite in our Pittsburgh, PA office.
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
- 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.
- Candidate must be a US Citizen
Required Skills
- Bachelor’s, Master’s, or Doctorate degree in Computer Science, Computer Engineering, Data Science, or a related field
- Minimum 2 years experience in hands-on development of machine learning models
- Practical experience in building, developing, and productionizing machine learning systems
- Advanced software skills in PythonExperience with common NLP algorithms and implementationsHands-on experiences with AWS and cloud infrastructure
- A strong desire to learn and investigate new technologiesFamiliarity 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
- 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 NLP models
We firmly believe that past performance is the best indicator of future performance. If you believe you meet the qualifications above, and you’re prepared to perform complex, mentally rigorous work, we’re eager to hear from you.
We firmly believe that past performance is the best indicator of future performance. If you thrive in ambiguity, are a self-starter, and care about solving technical problems in the national security domain, 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.
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