Is the Machine Learning Engineer role at Govini remote?

The Machine Learning Engineer role at Govini is an on-site position located in Pittsburgh, PA.

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Machine Learning Engineer

GoviniPittsburgh, PA2d ago

PythonAWSKubernetes

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Govini transforms Defense Acquisition from an outdated manual process to a software-driven strategic advantage for the United States.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.

Machine Learning Engineer

Scope of Responsibilities

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