Machine Learning Engineer - Austin, United States - SparkCognition Government Systems (SGS)

Description

SparkCognition Government Systems (SGS) is the first full-spectrum artificial intelligence (AI) company devoted entirely to the government and national defense mission.

By developing and operationalizing next-generation AI-powered solutions, SGS enables government organizations to meet the needs of their most pressing national security missions.

Using technologies built in the United States, SGS advances government operations by analyzing complex data to inform and accelerate intelligent decisions, applying predictive and prescriptive analytics to improve logistics and readiness, deploying autonomy technology for unmanned systems, using natural language processing for large scale processing of unstructured data, and more.

About the Role

SGS is seeking an innovative Machine Learning Engineer to join our team and help create the next generation of analytics and artificial intelligence solutions for government and defense applications.

At SGS, you will immerse yourself in cutting-edge research and work with the latest technologies to deliver value to our clients.

As a machine learning engineer on our team, you'll train, test, deploy, and maintain models that learn from data. In this role, you'll own and define the direction of mission-critical solutions by applying best-fit ML algorithms and technologies.


Responsibilities:
Collect and prepare data setsto ensure high-quality input for machine learning models
Develop new algorithms and approaches to tackle various AI/ML problems effectively
Conduct quantitative experiments to characterize algorithms
Integrate emerging technology into core applications to enhance functionality and performance

About You

Must be a U.S. Citizen and able to meet Security Clearance eligibility requirements to access classified information
Bachelor's Degree in Computer Science, Statistics, Physics, Mathematics, Engineering, or a related scientific discipline
Experience in Python and AI/ML toolkits
Experience with one or more ML frameworks ( PyTorch, TensorFlow/Keras, and Theano)
Experience with developing algorithms in a distributed environment (e.g., Dask, Hadoop, Spark)
Expertise in Natural Language Processing (NLP) domains and unstructured textual data
Familiarity in applying deep learning techniques to data sets
Ability to work independently and collaboratively on a project team, as well as effectively prioritize workload to meet deadlines and work objectives
Strong written and verbal communication skills
Independent thinking and desire to learn new techniques/technologies

Even Better

Experience working in the Defense or Aerospace industry
Graduate degree in Computer Science, Statistics, Mathematics, Engineering, or a related scientific discipline
Experience working with Elasticsearch or equivalent as a vector database
Experience using GitLab to manage software projects
Experience with best coding practices such as establishing virtual environments, passing environment variables, object-oriented programming, and others
Experience with developing web applications and/or interfacing with APIs
Experience with MLOps processes to operationalize and monitor data science models
Familiarity working cross-functionally with Agile development methodologies

SparkCognition Government Systems (SGS), Inc., is an equal opportunity employer, dedicated to diversity, equality, and inclusion, and provides equal employment opportunities to all employees and applicants for employment.

SGS prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities

The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant.

However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.

41 CFR c)

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