Senior Machine Learning Engineer

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 hr@maverc.com 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 hr@maverc.com or by calling 888-948-1468.

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

Qualification

Bachelor's Degree