Senior Machine Learning Engineer

Firma: Maverc Technologies
Job-Typ: Vollzeit

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 Responsibilities 
A 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 production
Debug and troubleshoot issues with deployment pipelines
Utilize and understand core ML tooling
Work with dataframes to manipulate and prepare data for models
Collaborate with the various teams within the AI Center of Excellence to ensure successful model implementation
Analyze large amounts of information to discover trends and patterns
Build predictive models and machine-learning algorithms
Requirements
QUALIFICATIONS AND EXPERIENCE 
Active SECRET
US Citizenship
Minimum of 8 years’ experience in DevOps or MLOps
Understanding of machine learning modeling techniques and algorithms
Experience with Python, Docker, Kubernetes and Git
Skilled in common data science libraries (Scikit-learn, PyTorch, etc)
Strong math skills (e.g. statistics, algebra)
Problem-solving aptitude
Excellent communication and presentation skills
Experience with deploying open-source LLMs
DataBricks
Splunk
Continuous Integration/Continuous Deployment
Knowledge of statistics and concepts in neural networks
Education: Bachelor’s or Master’s in Computer Science, Computer Engineering, or other related field.
Benefits
Join Maverc. Be Valued.
At Maverc, we are an inclusive community where diversity in all its forms is embraced, respected, and recognized as a true asset to the company. We are dedicated to fostering this inclusive environment, though we acknowledge that there is always room for improvement. Maverc is committed to evolving into a more inclusive and equitable organization, upholding the principles of equal employment opportunity and affirmative action.
Maverc is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment based on gender, gender identity or expression, sexual orientation, race, age, religion, physical or mental disability, veteran status, or other protected characteristics under federal, state, and local laws.
As a federal contractor, Maverc has implemented affirmative action programs to ensure non-discrimination and promote affirmative action in our policies and practices for qualified women, minorities, protected veterans, and individuals with disabilities. The narrative portion of Maverc's affirmative action plans is available for inspection at our offices during normal business hours. Employees and applicants interested in reviewing these plans should contact Human Resources at or (url removed) for assistance.
If you are interested in applying for a position with Maverc and require special assistance or accommodation to apply for a posted position, please contact our Human Resources department at (url removed) or by calling (phone number removed).
Exceptional People, Outstanding Benefits
Exceptional people are the cornerstone of any successful company. To attract and retain such talent, Maverc provides fulfilling work opportunities that complement a balanced lifestyle. We achieve this by offering exceptional benefits, enabling our employees to live and work well.
Health Care Plan (Medical, Dental & Vision)
Retirement Plan (401k, IRA)
Life Insurance (Basic, Voluntary & AD&D)
Paid Time Off (Vacation, Sick & Public Holidays)
Training & Development
Work From Home

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