ZeroMark, Inc.

Senior Machine Learning Operations Engineer

ZeroMark, Inc.

full-time

Posted on:

Origin:  • 🇺🇸 United States • New York

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Job Level

Senior

Tech Stack

AWSAzureCloudDockerGoogle Cloud PlatformKubernetesPythonPyTorchScikit-LearnTensorflow

About the role

  • Design, develop, and implement end-to-end machine learning pipelines, from data ingestion and preprocessing to model training, evaluation, and deployment.
  • Collaborate with the general software engineering team to integrate ML models into existing software systems and ensure scalability and maintainability.
  • Work with computer vision specialists to apply and optimize ML techniques for image and video analysis, object detection, tracking, and recognition in defense contexts.
  • Research and evaluate new machine learning algorithms, tools, and technologies to enhance capabilities.
  • Perform rigorous model testing, validation, and performance tuning to ensure robustness and accuracy in real-world scenarios.
  • Contribute to MLOps best practices, version control, and reproducible research.
  • Mentor junior engineers and contribute to continuous learning and knowledge sharing.
  • Communicate technical concepts effectively to both technical and non-technical stakeholders.

Requirements

  • Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or related quantitative field.
  • 5+ years of experience in machine learning engineering, with a proven track record of deploying ML models in production environments.
  • Strong proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
  • Solid understanding of supervised, unsupervised, and reinforcement learning.
  • Experience with ML architectures (CNNs, RNNs, Transformers, decision trees, support vector machines).
  • Familiarity with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
  • Experience with MLOps tools and practices.
  • Experience deploying a variety of edge systems.
  • Experience with TensorRT and similar technologies.
  • Deep knowledge of C++ and Python.
  • Experience or strong interest in defense, aerospace, or related industries.
  • Understanding of adversarial robustness, real-time constraints, and data security for defense applications.
  • Excellent communication and interpersonal skills; ability to translate complex technical concepts.
  • Mentoring experience and ability to contribute to a culture of continuous learning.
  • Ability to work independently and manage multiple priorities in a fast-paced environment.