Machine Learning Engineer

3 hours ago

Chantilly VA United States Armison Tech Full time

Armison Tech is a minority owned small business, established in 2012, located in the Northern Virginia area. We're a company predominantly focused on cyber security for our government customers yet our expertise in other areas include big data analytics, instructional design, information management, and computer network infrastructure. We invest in our employees' careers by participating in cutting edge cyber security training and attending industry leading conferences. As a small business we offer flexibility and powerful benefits supporting our most important assets, our employees and their families.


Armison Tech is constantly searching for exceptionally qualified technology professionals who would make a great addition to our team. Our staff, just like our clients and the work we do, is what makes Armison Tech a truly effective partner. As we help each of our new employees make adjustments to our operational methods, we make sure every professional is able to handle the workload of each project by resolving any relevant concerns or issues they may have relating to this recent career shift.


Our hiring process seeks to accentuate the raw talent and skill-set of our team members. Along with the importance of experience and education, Armison Tech looks for the superior analytical and communication ability that separates our employees from what we’ve seen while working with some similar companies. Individuals we employ must have a demonstrated ability to excel in high-pressure situations which have a real impact on the modern world so we can continue to keep pace with the competition and the evolving fields of technology.


Currently we have an immediate need to add an experienced:
Machine Learning Engineer
Location: Chantilly, VA (on-site client environment)
Clearance: TS/SCI with polygraph
Compensation: Competitive, Excellent Benefits

Only applicants with the active required security clearance and are U.S. Citizens will be reviewed.

You will be supporting machine learning model development and deployment efforts specific to the team's cyber missions and targets. You will need to demonstrate extensive experience with developing and implementing machine learning methodologies to triage large commercial cyber datasets.

REQUIRED EXPERIENCE:

  • Demonstrated experience developing and deploying machine learning models.
  • Demonstrated experience tuning hyper-parameters of existing machine learning models for domain-specific data sets.
  • Demonstrated experience implementing, evaluating, and extending state-of-the-art data science methods, data labeling, ETL, and other data standardization practices.
  • Demonstrated experience working with data science models testing, optimization, validation, and test automation.
  • Demonstrated experience leveraging model management capabilities to track version control and maintain information about best-performing models, such as MFLOW or similar.
  • Demonstrated experience programming in Python.
  • Demonstrated experience programming in other scripting languages such as Bash.
  • Demonstrated experience applying deep learning and machine learning processing libraries, including PyTorch, Tensor Flow, Keras, and scikit.
  • Demonstrated experience with implementing data science workflows in cloud-based platforms (e.g., AWS, Azure, etc.).

The duties and responsibilities listed in this job description generally cover the nature and level of work being performed by individuals assigned to this position. This is not intended to be a complete list of all duties, responsibilities, and skills required. Subject to the terms of an applicable collective bargaining agreement, the company management reserves the right to modify, add, or remove duties and to assign other duties as may be necessary. We wish to thank all applicants for their interest and effort in applying for the position; however, only candidates selected for interviews will be contacted.


Armison Tech is an equal opportunity employer. All applicants will receive consideration for employment, without regard to race, color, religion, creed, national origin, gender or gender-identity, age, marital status, sexual orientation, veteran status, disability, pregnancy or parental status, or any other basis prohibited by law.

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