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    Machine Learning Engineer - Columbia, United States - Money Fit by DRS

    Money Fit by DRS
    Money Fit by DRS Columbia, United States

    3 weeks ago

    Default job background
    Description


    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

    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.

    Job Type:
    Full-time

    Pay:
    $144, $164,000.00 per year

    #J-18808-Ljbffr
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