Job description

GCI embodies excellence, integrity and professionalism. The employees supporting our customers deliver unique, high-value mission solutions while effectively leverage the technological expertise of our valued workforce to meet critical mission requirements in the areas of Data Analytics and Software Development, Engineering, Targeting and Analysis, Operations, Training, and Cyber Operations. We maximize opportunities for success by building and maintaining trusted and reliable partnerships with our customers and industry. At GCI, we solve the hard problems. As a Machine Learning Engineer, a typical day will include the following duties: WORK REQUIREMENTS • Provide Model training based on data acquired from other components. • Create complete AI-based systems, models, human-review processes and outputs ETL processes and databases. • Provide Productionization and development of AI-bases systems as part of collection mechanisms. • Provide support to operational elements that are using these systems including breakfix work and software updates. • Research AI/ML modeling in open source to ensure that applicable cutting edge technologies and capabilities are being brought to bear on Customer efforts. • Support the efforts to collaborate with other elements across the Customer and community that are engaged in AI efforts. • Frame and scale data problems to effectively analyze, visualize and find data solutions. • Develop and support scalable and secure functionality into their applications, focusing on integrating and implementing Artificial Intelligence (AI) algorithms and logic into the deliverables of an IT project. • Understand business objectives and develop models that help to achieve them, along with metrics to track progress. • Derive insights and analytic narratives from data and visualizations for effective storytelling and clear communication in response to specific research questions. • Analyze technology trends related to Artificial Intelligence (AI) and Machine Learning (ML), and their strategic implications. • Perform independent technical research in relevant areas; robotics, autonomy, software, engineering, data analysis. • Collaborate with customers and stakeholders to understand and assess business requirements and define AI solutions to align with architectural framework and meet business needs. • Familiar with disciplines such as Natural Language Processing, Machine Learning, Predictive modeling, Statistical Analysis and Hypothesis testing. • Program a system to look for or seek out specific conditions and respond based on those factors. REQUIRED SKILLS • Demonstrated experience with the ability to understand and automate customer workflows and business processes with AI solutions. • Demonstrated experience in data structures, data modeling, and software architecture. • Demonstrated in-depth experience and knowledge of machine learning tools and frameworks such as PyTorch, Tensorflow, etc. • Demonstrated experience with extensive math and computer science skills, with a deep understanding of probability, statistics, and algorithms. • Demonstrated experience in AI/ML specific programming languages, such as Python, Java, C++, Conda, etc. • Demonstrated experience training AI models, as well as in integrating pre-trained models into dataflows and software architectures. DESIRED SKILLS • Demonstrated experience implementing secure AI solutions in the Intelligence Community. • Demonstrated experience working with highly sensitive data sets. • Demonstrated experience in leading AI/ML initiatives. • Demonstrated experience and in-depth knowledge of implementing ETL (Enhance/Transform/Load) pipeline. • Demonstrated experience and in-depth knowledge in implementing solutions in Amazon Web Services. • Demonstrated experience with very strong problem solving and critical thinking skills. • Demonstrated experience with serving in a collaborative team environment. A candidate must be a US Citizen and requires an active/current TS/SCI with Polygraph clearance. Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

Requirements

Must-haves

At GCI, we solve the hard problems. As a Machine Learning Engineer, a typical day will include the following duties:
Provide Model training based on data acquired from other components.
Create complete AI-based systems, models, human-review processes and outputs ETL processes and databases.
Provide Productionization and development of AI-bases systems as part of collection mechanisms.
Provide support to operational elements that are using these systems including breakfix work and software updates.
Research AI/ML modeling in open source to ensure that applicable cutting edge technologies and capabilities are being brought to bear on Customer efforts.
Support the efforts to collaborate with other elements across the Customer and community that are engaged in AI efforts.
Frame and scale data problems to effectively analyze, visualize and find data solutions.
Develop and support scalable and secure functionality into their applications, focusing on integrating and implementing Artificial Intelligence (AI) algorithms and logic into the deliverables of an IT project.
Understand business objectives and develop models that help to achieve them, along with metrics to track progress.
Derive insights and analytic narratives from data and visualizations for effective storytelling and clear communication in response to specific research questions.
Analyze technology trends related to Artificial Intelligence (AI) and Machine Learning (ML), and their strategic implications.
Perform independent technical research in relevant areas; robotics, autonomy, software, engineering, data analysis.
Collaborate with customers and stakeholders to understand and assess business requirements and define AI solutions to align with architectural framework and meet business needs.
Familiar with disciplines such as Natural Language Processing, Machine Learning, Predictive modeling, Statistical Analysis and Hypothesis testing.

Nice-to-haves

Demonstrated experience implementing secure AI solutions in the Intelligence Community.
Demonstrated experience working with highly sensitive data sets.
Demonstrated experience in leading AI/ML initiatives.
Demonstrated experience and in-depth knowledge of implementing ETL (Enhance/Transform/Load) pipeline.
Demonstrated experience and in-depth knowledge in implementing solutions in Amazon Web Services.
Demonstrated experience with very strong problem solving and critical thinking skills.
Demonstrated experience with serving in a collaborative team environment.
A candidate must be a US Citizen and requires an active/current TS/SCI with Polygraph clearance.
Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningaimlpythonjava

Platform: ukg
Effort: medium