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Machine Learning Engineer

Pittsburgh, PA

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Govini

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Company Description
Govini is the leading Commercial Data company in the Defense Technology space. Built by Govini, Ark.ai is used at scale across the National Security sector of the U.S. federal government. This platform enables government analysts, program managers, and decision-makers to gain unprecedented visibility into the Companies, Capabilities, and Capital in National Security to solve challenges pertaining to Acquisition, Foreign Influence & Adversarial Capital, Nuclear Modernization, Procurement, Science & Technology, and Supply Chain. 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 role is a full-time position located in Pittsburgh, PA

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.

    • US Citizenship is required

    Required Skills:
  • Bachelor's, Master’s or Doctorate degree 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
  • 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 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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Tags: AWS Big Data Computer Science Data analysis Engineering Git Kubernetes Machine Learning ML models NLP Open Source Python Security

Perks/benefits: Career development Startup environment

Region: North America
Country: United States
Job stats:  6  2  0
Categories: Engineering Jobs Machine Learning Jobs

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