Sterling, VA, 20167, USA
1 day ago
Machine Learning Engineer
Nightwing provides technically advanced full-spectrum cyber, data operations, systems integration and intelligence mission support services to meet our customers’ most demanding challenges. Our capabilities include cyber space operations, cyber defense and resiliency, vulnerability research, ubiquitous technical surveillance, data intelligence, lifecycle mission enablement, and software modernization. Nightwing brings disruptive technologies, agility, and competitive offerings to customers in the intelligence community, defense, civil, and commercial markets. Candidate should have strong skills in programming languages like Python, a solid understanding of mathematics and statistics), data cleaning and visualization, model evaluation, cloud and proficiency with machine learning frameworks like TensorFlow and PyTorch; **TS/SCI with Polygraph Required Day 1** Required skills: + Python, Java, C++ TensorFlow, PyTorch, Scikit-learn + Data cleaning, visualization, feature engineering + AWS or Azure + Natural Language Processing (NLP):For tasks involving text analysis and understanding Desired skills + Understanding metrics, building benchmark datasets, assessing model performance + Familiarity with neural networks and their application in complex tasks + Explaining technical concepts to non-technical stakeholders _At Nightwing, we value collaboration and teamwork. You’ll have the opportunity to work alongside talented individuals who are passionate about what they do. Together, we’ll leverage our collective expertise to drive innovation, solve complex problems, and deliver exceptional results for our clients._ _Thank you for considering joining us as we embark on this new journey and shape the future of cybersecurity and intelligence together as part of the Nightwing team._ _Nightwing is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class._
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