Machine Learning Engineer with Security Clearance

Machine Learning Engineer Chantilly/Herndon, VA Apply 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, clusting, 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. We are proud to be an EEO/AA employer Minorities/Women/Veterans/Disabled and other protected categories.

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