# Senior Machine Learning Operations Engineer

**Company:** [ZeroMark](https://hotfix.jobs/companies/zeromark)
**Location:** New York, NY
**Role:** ML Engineering
**Experience:** 5+ years
**Skills:** Python, TensorFlow, PyTorch, scikit-learn, Kubernetes, Docker, AWS, Azure, GCP, MLOps, TensorRT, C++, Cnns, Rnns, Transformers
**Posted:** 2026-04-08

> Designs and deploys end-to-end ML pipelines and MLOps practices for AI-driven counter-drone systems in defense applications. Requires 5+ years ML engineering experience, Python/C++ proficiency, cloud/containerization, and computer vision expertise.

## Job Description

## What You'll Do
- 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 in conjunction 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 our capabilities and solve challenging problems.
- Perform rigorous model testing, validation, and performance tuning to ensure robustness and accuracy in real-world scenarios.
- Contribute to the development of best practices for ML engineering, including MLOps, version control, and reproducible research.
- Mentor junior engineers and contribute to a culture of continuous learning and knowledge sharing.
- Communicate technical concepts effectively to both technical and non-technical stakeholders.

## What You'll Need
**Education:** Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related quantitative field.

**Experience:** 5+ years of experience in machine learning engineering, with a proven track record of deploying ML models in production environments.

**Technical Skills:**
- Strong proficiency in Python and relevant ML libraries (e.g., **TensorFlow**, **PyTorch**, **scikit-learn**).
- Solid understanding of core machine learning concepts, including supervised, unsupervised, and reinforcement learning.
- Experience with various machine learning model architectures and their application (e.g., **CNNs**, **RNNs**, **Transformers**, decision trees, support vector machines).
- Familiarity with cloud platforms (e.g., **AWS**, **Azure**, **GCP**) and containerization technologies (e.g., **Docker**, **Kubernetes**).
- Experience with MLOps tools and practices.
- Experience deploying a variety of edge systems.
- Experience with **TensorRT** and other similar technologies.
- Deep knowledge of **C++** and **Python**.

**Domain Knowledge:**
- Experience or strong interest in defense, aerospace, or related industries is highly desirable.
- Understanding of the unique challenges and considerations for deploying ML in defense applications (e.g., adversarial robustness, real-time constraints, data security).

**Collaboration & Communication:**
- Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.
- Ability to translate complex technical concepts into clear and concise language.

**Problem-Solving:**
- Strong analytical and problem-solving skills, with a proactive and innovative approach.
- Ability to work independently and manage multiple priorities in a fast-paced environment.

## Bonus Points
- Experience with specific computer vision tasks such as object detection, segmentation, or tracking.
- Familiarity with real-time ML systems and embedded systems.
- Contributions to open-source projects or publications in relevant fields.

## What We Offer
- Competitive salary, equity, and benefits package.
- Opportunity to work on cutting-edge technology with a significant impact on national security.
- A collaborative work environment that values innovation.
- Professional development opportunities and career growth.

## Similar roles

- [Senior Machine Learning Engineer, Agent Oversight](https://hotfix.jobs/jobs/1f504a69-044f-47ab-872b-120a1706cd88) - Scale AI - San Francisco, CA - $216k – $270k/yr
- [Senior Software Engineer, Agent Oversight](https://hotfix.jobs/jobs/808ce719-6b16-4b6e-8887-8c8f8a780b75) - Scale AI - San Francisco, CA - $216k – $270k/yr
- [Senior Software Engineer, AI Infrastructure](https://hotfix.jobs/jobs/dd1c3420-6c0a-47ed-a1a7-de401bdf506c) - Ambient.ai - Redwood City, CA - $168k – $205k/yr
- [Senior Software Engineer](https://hotfix.jobs/jobs/423c60aa-ca4c-400d-babe-a50099433cbb) - SpotOn - Chicago, IL - $160k – $190k/yr
- [Senior AI Engineer, Enterprise](https://hotfix.jobs/jobs/87a30fd1-3fe6-47f3-a0a1-da444f3c00f4) - Snowflake - Menlo Park, CA - $156k – $224k/yr

**Apply:** https://hotfix.jobs/jobs/1d720576-2120-4780-a41e-2be4dc8369ed
**Canonical:** https://hotfix.jobs/jobs/1d720576-2120-4780-a41e-2be4dc8369ed