Machine Learning Engineer

7 days ago


Arlington, Virginia, United States Energize Group Full time

At Energize Group, we are seeking an innovative technologist to drive cutting-edge AI/ML solutions for critical national security projects.

We offer a competitive salary of $175-225k depending on experience.

About the Role:

We're looking for someone who can combine expertise in data engineering, machine learning, and operational deployment to design, build, and scale solutions that empower decision-makers and solve real-world challenges.

Key Responsibilities:

  • Develop and deploy scalable machine learning models and pipelines in secure environments.
  • Collaborate with cross-functional teams to translate mission requirements into actionable data solutions.
  • Design and implement MLOps frameworks, automating model training, validation, deployment, and monitoring.
  • Conduct data exploration and preprocessing to uncover actionable insights from diverse datasets.
  • Apply advanced analytics techniques to support decision-making and operational objectives.
  • Optimize cloud-based infrastructure for high performance, cost-efficiency, and security compliance.
  • Present findings and recommendations to stakeholders in clear, impactful formats.

What You Bring:

  • Clearance: Active TS/SCI (CI polygraph preferred).
  • Experience: 5+ years in data science, machine learning, or MLOps roles supporting government or defense initiatives.
  • Technical Expertise:
  • Proficient in Python, R, or similar languages.
  • Hands-on experience with TensorFlow, PyTorch, Scikit-learn and SageMaker or Vertex AI.
  • CI/CD pipelines and MLOps tools: MLflow, Kubeflow, Airflow, Docker, Kubernetes.
  • Data Skills: Strong background in ETL, data wrangling, and statistical modeling.
  • Soft Skills: Exceptional communication, collaboration, and problem-solving abilities in high-stakes environments.

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