Anno.ai
Senior Machine Learning Engineer
United States, Remote · Senior
No sponsorshipDetected 27 days ago
PythonDockerKubernetesCI/CDPrometheusGrafanaMachine LearningDeep LearningTensorFlowPyTorchAirflowData EngineeringData ScienceMLOpsAI OrchestrationCybersecurityElectrical EngineeringAdaptability
About the role
- By combining deep technical expertise with a strong national security ethos, Anno.ai ensures that emerging autonomous technologies are tested not only for performance, but for resilience, adaptability, and operational relevance.
- Disclaimer: Due to the sensitive nature of our engineering work, Anno.ai enforces strict digital footprint and identity verification.
Responsibilities
- Implement automated CI/CD workflows tailored to ML systems, ensuring repeatable experiments, reliable packaging, and continuous delivery of both up to date models and associated data pipelines
- Manage ML runtime infrastructure using containerization and orchestration frameworks (e.g., Docker, Kubernetes) and incorporating model serving platforms (e.g., Seldon, KServe, BentoML)
Requirements
- Experience operationalizing ML systems at production scale, including model training, versioning, packaging, deployment, and monitoring
- Hands-on experience with MLOps frameworks and workflow tooling (e.g., MLflow, Kubeflow, Airflow, DVC, BentoML)
- Anno.ai is a growing company with a team drawn from diverse professional backgrounds, bringing together expertise in defense, technology, engineering, and operations.
Nice to have
- Bachelor's degree in Computer Science, Electrical Engineering, Data Science, or a related technical field (Master's preferred)
Benefits
- Operationalize machine learning models by building and maintaining robust, scalable pipelines for training, evaluation, deployment, and lifecycle management across cloud, on-prem, and edge compute environments
- Develop monitoring systems to track model health, performance, data drift, system utilization, and mission relevance using tools such as Prometheus, Grafana, and ELK/EFK stacks
- 5+ years of professional experience in software engineering, machine learning engineering, MLOps, or related roles
- Strong proficiency in Python and familiarity with at least one deep learning framework (e.g., PyTorch, TensorFlow)
Visa & Work Authorization
- Government security clearance (U
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This listing is sourced directly from Anno.ai's careers page and normalized into a canonical job model.