Machine Learning Engineer
Full Time $130,000 - $260,000 / yearJob Overview
REQUIRED: Active TS/SCI with Full Scope Polygraph
LOCATION: Full-time, onsite in Herndon, VA
Step into a role where advanced analytics and applied machine learning directly shape the impact of our mission. As a Machine Learning Engineer, you play a central role in transforming complex data into operational insight, driving innovation across our technical landscape. This position calls for someone with demonstrated experience developing models, engineering data pipelines, and leveraging modern ML frameworks—paired with the ability to integrate solutions into real‑world systems.
LOCATION: Full-time, onsite in Herndon, VA
Step into a role where advanced analytics and applied machine learning directly shape the impact of our mission. As a Machine Learning Engineer, you play a central role in transforming complex data into operational insight, driving innovation across our technical landscape. This position calls for someone with demonstrated experience developing models, engineering data pipelines, and leveraging modern ML frameworks—paired with the ability to integrate solutions into real‑world systems.
Who We Are:
We offer advanced services in data science, data engineering, software engineering, AI solutions, cybersecurity, staff augmentation, and IT program management. With a competitive salary range and industry-leading benefits, Ardent Principles offers more than just a job - we offer a career path filled with growth and opportunities. Join us and let's shape the future together!
We offer advanced services in data science, data engineering, software engineering, AI solutions, cybersecurity, staff augmentation, and IT program management. With a competitive salary range and industry-leading benefits, Ardent Principles offers more than just a job - we offer a career path filled with growth and opportunities. Join us and let's shape the future together!
Passionate Integrity, Driven by Excellence
"Ardent Principles" signifies our unwavering commitment to excellence, driven by a profound passion and a strict adherence to ethical values. We believe that happy employees make for happy clients. Our mission is to act as a bridge between satisfied clients and fulfilled employees, ensuring that your job and well-being are our top priorities because your satisfaction leads to the success of our clients.
"Ardent Principles" signifies our unwavering commitment to excellence, driven by a profound passion and a strict adherence to ethical values. We believe that happy employees make for happy clients. Our mission is to act as a bridge between satisfied clients and fulfilled employees, ensuring that your job and well-being are our top priorities because your satisfaction leads to the success of our clients.
Key Responsibilities
In this mission‑critical role as a Machine Learning Engineer, you develop the advanced analytic capabilities that directly strengthen and sustain our organization’s operational impact.
You are primarily responsible for and/ or have demonstrated experience in, with or using:
You are primarily responsible for and/ or have demonstrated experience in, with or using:
- Designing, creating tables, views, relationships, and scripting (SQL) with database systems (e.g., Oracle, MySQL, PostgreSQL, SQL, NOSQL, and/or structured and unstructured data).
- Implementing and using extract, transform, and load (ETL) tools.
- Implementing, using, and creating Data Application Programming Interfaces (APIs) or data services.
- Python, Java, and Scala programming languages.
- Implementing, using, and creating data visualizations.
- Implementing, using, or creating ML/AI software, tools, and services.
- Using or creating Amazon Web Services (AWS)-based analytic tools and services.
- Using and implementing Apache Hadoop.
Highly Desired Qualifications
Other skills and demonstrated experiences that are highly desired but not mandatory to perform the work, include working with; using; familiarity with:
- Using and creating Tableau visualizations.
- Using and creating workspaces in Bluescape.
- Working with data services in the Sponsor’s cloud environment.
- Using SharePoint, and adding and integrating content.
- Knowledge of Agile Project Management Methodology.