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# AI/ML Platform Engineer job

- **Company:** System Soft
- **Location:** Linthicum Heights, MD, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, Computer Vision, Microsoft Azure, Continuous Integration, Information Engineering, Software Debugging, Programming Tools, Github, Python (Programming Language), Machine Learning, Natural Language Processing, Ansible, Tensorflow, Prometheus, Azure Machine Learning, Software Engineering, Management of Software Versions, Speech Recognition, Workflow Management Systems, Reinforcement Learning, Datadog, Feature Store, Feature Engineering, Pytorch, Delivery Pipeline, Grafana, Deep Learning, Generative AI, Gitlab-ci, Scikit Learn, Kubernetes, Information Technology, Production Code, Machine Learning Operations, Terraform, Docker, Jenkins
- **Published:** October 17, 2026
- **Apply:** https://jobs.diversity.com/career/2530920/ai-ml-platform-engineer

## About the Role

* 5+ years of experience in software engineering, data engineering, or ML engineering, including 2+ years working with production ML systems.
 * Bachelor's degree in Computer Science, Engineering, or a related technical field master's degree or PhD preferred.
 * Strong proficiency in Python and production-quality code development.
 * Understanding of ML and deep learning fundamentals, including model training, evaluation, feature engineering, versioning, and deployment.
 * Experience with PyTorch, TensorFlow, or scikit-learn.
 * Experience with Apache Airflow, Kubeflow Pipelines, Prefect, or equivalent orchestration tools.
 * Familiarity with AWS, Azure, or GCP and managed AI/ML services.
 * Experience with Docker, basic Kubernetes operations, and CI/CD tools such as GitHub Actions, GitLab CI, or Jenkins.
 * Experience building, deploying, monitoring, and troubleshooting ML pipelines and production workflows.
 * Experience monitoring model performance, data drift, pipeline health, and infrastructure utilization.
 * Strong analytical, debugging, communication, and collaboration skills.

Preferred Experience:

 * Prometheus, Grafana, or Datadog.
 * MLflow or Weights & Biases.
 * Terraform or Ansible.
 * Feature stores such as Feast or Tecton.
 * Internal developer tools, SDKs, and self-service platform capabilities.
 * NLP, computer vision, speech processing, reinforcement learning, or Generative AI.
 * Government, regulated, or large enterprise environments.

## Description

The AI/ML Platform Engineer will develop, maintain, and optimize infrastructure, tools, and automated workflows supporting the shared enterprise AI/ML platform. The role focuses on ML pipeline automation, CI/CD, model deployment, monitoring, cloud cost optimization, and developer enablement.