Become part of a team solving the most significant Cybersecurity & IT Challenges and helping keep the world s largest and most elite brands safer from cyber threats. At Maverc we have a powerful mindset based on our core values of being accountable, helpful, adaptable, and focused. Maverc Technologies is a proven and effective small business partner and consultant, recognized as a leader in providing cyber security and IT services to the Federal, State, and local Government and within the Intelligence Community. Maverc Technologies is seeking an

Machine Learning Engineer

to support one of our corporate customers.Job Duties and ResponsibilitiesA talented Machine Learning Engineer to support our AI Center of Excellence! In this role, you and your team will be responsible for the entire lifecycle of machine learning models, from managing and deploying them to troubleshooting any pipeline issues that arise. We offer a collaborative environment where you will work closely with engineers and data scientists to bring impactful ML solutions to life.Responsibilities include, but are not limited to:Manage and deploy machine learning models into productionDebug and troubleshoot issues with deployment pipelinesUtilize and understand core ML toolingWork with dataframes to manipulate and prepare data for modelsCollaborate with the various teams within the AI Center of Excellence to ensure successful model implementationAnalyze large amounts of information to discover trends and patternsBuild predictive models and machine-learning algorithmsQUALIFICATIONS AND EXPERIENCEActive SECRETUS CitizenshipMinimum of 8 years experience in DevOps or MLOpsUnderstanding of machine learning modeling techniques and algorithmsExperience with Python, Docker, Kubernetes and GitSkilled in common data science libraries (Scikit-learn, PyTorch, etc)Strong math skills (e.g. statistics, algebra)Problem-solving aptitudeExcellent communication and presentation skillsExperience with deploying open-source LLMsDataBricksSplunkContinuous Integration/Continuous DeploymentKnowledge of statistics and concepts in neural networksEducation:

Bachelor s or Master s in Computer Science, Computer Engineering, or other related field.Job Type: Full-timePay: $144,000.00 - $164,000.00 per year

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