Machine Learning Ops Engineer

Responsibilities

Noblis is seeking to hire a Machine Learning (ML) Ops Engineer with an ACTIVE Top Secret with SCI and Polygraph in Chantilly, VA.

As an experienced ML Ops Engineer/Data Scientist with our team, you will be working with our federal clients to rapidly develop innovative solutions for their mission challenges with a focus on developing ML models. In your role, you will work on teams with other data scientists, software developers, and SMEs to apply the best practices and state‑of‑the‑art data science and machine learning processes.

As a data scientist you will be working alongside cyber analysts to provide them services that develop AI/ML models on cyber data to facilitate object detection, data triage, search/optimization, inference, behavior detection, and automated discovery and decision making, maintaining model versioning systems and identifying new vulnerabilities in models. We are seeking someone with experience supporting the Intel Community (IC) who also has cyber‑security hands‑on experience.

• Bachelors degree
• Experience working with Cyber data, including examples such as Shodan, Censys.
  
  IO, etc.
• Experience working professionally in a Data Science or Development environment within the IC space(s).
• Experience creating, evaluating, and deploying AI/ML Models.
• Experience developing and applying advanced machine learning methods including clustering, regression, optimization, recommender engines, and artificial neural networks.
• Experience with testing and tuning ML Models.
• Deploying models into existing tools or applications.
• Performing automated tests (e.g., experience using PyTest).
• Experience with developing and deploying resources to cloud environments.
• Experience working in Linux and Windows environments and managing resources for efficiency.
• Junior‑Level: 1‑2 years of professional work experience.
  • Compensation: $88,500 – $138,300
• Mid‑Level: 2‑4 years of professional work experience.
  • Compensation: $88,500 – $167,325
• Senior‑Level: 3‑5 years of professional work experience.
  • Compensation: $107,100 – $167,325
• Expert‑Level: 5+ years of professional work experience.
  • Compensation: $129,700 – $202,675
• Required Technologies:
  • Python
  • PyTorch, Tensor Flow, Keras, and Scikit‑Learn
  • Experience using CUDA and NVIDIA GPU accelerated libraries
• ACTIVE Top Secret with SCI and Full Scope Polygraph
• Able to work on‑site in Chantilly, VA
• Must be a U.S. Citizen

• Demonstrated experience with cleaning, managing, and optimizing performance of large volumes of data.
• Experience with machine learning, statistical modeling, time‑series forecasting, geospatial analytics, and parallel processing (Hadoop, Spark, etc.)
• Experience working with cloud providers such as AWS, GCP, and Azure.

Noblis and its wholly‑owned subsidiaries, Noblis ESI, and Noblis MSD tackle the nation’s toughest problems and apply advanced solutions to our clients’ most critical missions. We bring scientific thought, management, and engineering expertise together in an environment of independence and objectivity to deliver enduring impact on federal missions. Noblis works with a wide range of government clients in the defense, intelligence, and federal civil sectors.

Why work at a Noblis company? Our employees find greater meaning in their work and balance the other things in life that matter to them. Our people are our greatest asset. They are exceptionally skilled, knowledgeable, team‑oriented, and mission‑driven individuals who want to do work that matters and benefits the public. Noblis has won numerous workplace awards. Noblis maintains a drug‑free workplace.

* Remote/hybrid status is subject to change based on Noblis and/or government requirements.

At Noblis we recognize and reward your contributions, provide you with growth opportunities, and support your total well‑being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, and work‑life programs. Our award programs acknowledge employees for exceptional performance and superior demonstration of our service standards. Full‑time and part‑time…