Machine Learning Engineer
7 days ago
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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