Website Govini

Company Description
Govini is a decision science firm dedicated to transforming the business of national security through data science and machine learning. Through its data and analytic 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.

Job Description
We are seeking an exceptional 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.

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.

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 degree in Computer Science, Computer Engineering or a related field
Minimum 2 years experience in hands-on development of machine learning models
Practical experience of building, developing and productionizing machine learning systems
Advanced software skills in Python
Experience in NLP
Hands-on experiences 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
Track record of implementing data-driven products 
Experience in or exposure to the nuances of a startup or other entrepreneurial environment

 

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. 

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. 

To apply for this job please visit jobs.lever.co.