Machine Learning Engineer - Chantilly - Dark Wolf Solutions

    Dark Wolf Solutions
    Dark Wolf Solutions Chantilly

    1 week ago

    Description

    Machine Learning Engineer

    Dark Wolf constructs and deploys data management and analytics solutions for the defense and intelligence communities. We're proud to boast a world-class engineering team that thrives on rolling up their sleeves to solve your mission's biggest challenges.

    Dark Wolf is seeking a highly motivated and self-directed professional to fill the role of Machine Learning (ML) Engineer to support our team in Northern Virginia.

    Responsibilities:

    • Design, develop, and implement machine learning models and algorithms to solve specific business problems.
    • Build and maintain scalable and robust machine learning pipelines for data ingestion, preprocessing, feature engineering, model training, evaluation, and deployment.
    • Transform machine learning models into deployable APIs and integrate them with existing applications and infrastructure.
    • Collaborate closely with data scientists, software engineers, and product managers to understand requirements and translate them into practical ML solutions.
    • Experiment with different machine learning techniques and algorithms to identify the most effective approaches for given problems.
    • Evaluate model performance using appropriate metrics and iterate on models to improve accuracy, efficiency, and scalability.
    • Monitor and maintain deployed models, ensuring their reliability and performance in production environments.
    • Troubleshoot and resolve issues related to machine learning models and pipelines.
    • Stay up-to-date with the latest advancements in machine learning, deep learning, and related fields.
    • Contribute to the development of best practices and standards for machine learning development and deployment within the team.
    • Document machine learning models, experiments, and deployment processes.
    • Potentially work with large datasets and big data technologies.
    • Optimize machine learning models for performance and efficiency.

    Qualifications:

    • Master's in computer science, Machine Learning, or higher level degree is preferred with of 3+ years of related industry experience in Machine Learning, Computer Science, Data Science or related fields.
    • Demonstrated hands-on experience in developing and deploying machine learning models in a production environment.
    • Strong programming skills in Python and experience with relevant machine learning libraries and frameworks such as TensorFlow, Keras, PyTorch, scikit-learn, etc.
    • Solid understanding of machine learning algorithms (e.g., regression, classification, clustering, dimensionality reduction, deep learning architectures).
    • Experience with data preprocessing, feature engineering, and data visualization techniques.
    • Familiarity with data storage and processing technologies (e.g., SQL, NoSQL databases, Spark, Hadoop).
    • Experience with cloud platforms (e.g., AWS, Azure, GCP) and their machine learning services.
    • Understanding of software development principles, version control (e.g., Git), and CI/CD pipelines.
    • Strong analytical and problem-solving skills with the ability to interpret data and draw meaningful conclusions.
    • Excellent communication and collaboration skills to effectively communicate technical concepts to both technical and non-technical audiences.

    Preferred Skills:

    • Experience with specific areas of machine learning such as Natural Language Processing (NLP), Computer Vision, or Recommender Systems.
    • Experience with MLOps practices and tools for automating and monitoring machine learning workflows.
    • Knowledge of containerization technologies like Docker and orchestration tools like Kubernetes.
    • Experience with building and deploying RESTful APIs.
    • Familiarity with big data technologies and distributed computing.
    • Experience with statistical modeling and inference.

    Position Clearance Requirement:

    TS/SCI with Full-Scope Polygraph

    This position is located in Chantilly/Herndon, VA.

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