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    Machine Learning/ Cloud Engineer, TS/SCI - Washington, United States - Maania Consultancy Services

    Maania Consultancy Services background
    Description

    Job Description

    Job Description

    Qualifications:

    • TS-SCI clearance
    • Bachelor's degree or equivalent practical experience.
    • 8+ years of experience in computer science, data science, machine learning
    • Proven experience developing and deploying machine learning models in a production environment.
    • Hands-on experience with major cloud platforms
    • Strong proficiency in programming languages such as Python, along with libraries like Tensorflow, PyTorch, or scikit-learn.
    • Understanding of version control, testing, and debugging.
    • Strong communications skills with the ability to effectively convey technical concepts to various stakeholders and audiences
    • Agile development experience along with related technologies (e.g., Jira)

    Preferred Qualifications:

    • TS-SCI clearance
    • Deep knowledge of security best practices, experience with cloud security tools, and working with role and attribute based security models
    • Deep knowledge of DevSecOps and MLOPs
    • Familiarity and experience with the Intelligence Community (IC), and the intel cycle.
    • Familiarity and experience with the Department of Homeland Security (DHS).
    • Master's degree or equivalent experience in a related field.

    Responsibilities:

    • Develop and deploy machine learning models to solve complex problems related to various mission focus areas
    • Leverage various cloud platforms such as AWS, Azure, or Google cloud to build, train, and deploy machine learning models at scale
    • Collaborate with team members to establish data pipelines for model training and inference
    • Implement and optimize machine learning algorithms for efficiency and performance
    • Conduct thorough experimentation and analysis to improve model accuracy and performance
    • Participate in informal and formal code reviews
    • Participate in architectural reviews and offer alternative architectural patterns to optimize application performance
    • Document processes and solutions that serve as communication findings for both technical and non-technical stakeholder

    Skills:

    • GitLab
    • Python and R Studio
    • Cloud Services (AWS, GCP, Oracle)
    • Natural Language Processing (NLP)
    • Data Science
    • Machine Learning

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