Senior Machine Learning Operations Engineer

ZeroMark, Inc.

full-time

Posted on: 9/7/2025

Location: New York • 🇺🇸 United States

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Senior

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.

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.