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Dark Wolf · 19 hours ago

Machine Learning Engineer

Chantilly/Herndon, VA

Full-time

Onsite

Mid Level

3+ years exp

Dark Wolf Solutions constructs and deploys data management and analytics solutions for the defense and intelligence communities. They are seeking a highly motivated Machine Learning Engineer to design, develop, and implement machine learning models and algorithms to solve specific business problems.

Cyber SecurityInformation TechnologyManagement ConsultingSoftwareTechnical Support

Comp. & Benefits

No H1B

Security Clearance Required

U.S. Citizen Only

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

Qualification

Machine LearningPythonMachine Learning LibrariesCloud PlatformsData PreprocessingData VisualizationSoftware Development PrinciplesStatistical ModelingNatural Language ProcessingComputer VisionRecommender SystemsMLOpsDockerKubernetesRESTful APIsBig Data TechnologiesCommunication SkillsProblem-Solving SkillsCollaboration Skills

Required

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

Position Clearance Requirement: TS/SCI with Full-Scope Polygraph

Preferred

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

Company

Dark Wolf

Dark Wolf provides DevSecOps agile software development, information operations, penetration testing and incident response, applied research and rapid prototyping, machine learning, and mission support and engineering services to the Intelligence Community, national security, and Fortune 500 customers.

Founded in 2009

Herndon, Virginia, USA

501-1000 employees