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As an MLOps Engineer,, you will build secure, scalable, and speedy pipelines working closely with Dedrone's other engineering teams to architect, design, and implement infrastructure to improve and scale information retrieval.
You will...
At Dedrone, we believe that great ideas come from anywhere. We support a collaborative environment and value open participation from individuals with different ideas, experiences, and perspectives. We believe having a diverse team makes Dedrone a more interesting and innovative place to work, and we strive to make Dedrone a welcoming and inclusive place for all.
![Dedrone](https://media.trabajo.org/img/noimg.jpg)
MLOps Engineer
2 months ago
Sterling, United States
Dedrone
Full time
Company Overview: Dedrone is the world's most trusted smart airspace security company. Hundreds of commercial, government and military customers around the world rely on Dedrone's comprehensive, command and control (C2) solution to protect against the persistent and escalating threat from drones while enabling "good" drones to fly. By leveraging AI/ML, Dedrone is the only solution that provides continuous, autonomous interrogation and verification of drones that enables both multi-sensor and multi-mitigation options onto a single fused "pane-of-glass". Whether on-premise / air-gapped or in the cloud, Dedrone customers can easily detect, track, identify, analyze, and mitigate drone threats. As an MLOps Engineer,, you will build secure, scalable, and speedy pipelines working closely with Dedrone's other engineering teams to architect, design, and implement infrastructure to improve and scale information retrieval.
You will...
- Develop, build, design, continuously improve, and support the MLOps Platform. You will participate in all stages of development, use various software and tools, and enabling self-service tools for data science teams.
- Design,, develop, integrate, and deploy tools for Data Science and Machine Learning (ML) Research.
- Design and operate a framework for Machine Learning Operations (MLOps), advise on software engineering for ML, and ensure consistency with architectural principles.
- Provides best practices and running proof-of-concepts for automated and efficient model operations on a large scale.
- Ability to understand tools used by data scientist and experience with software development and test automation
- Good to have in-depth knowledge in machine learning frameworks or libraries such as TensorFlow, Keras, PyTorch, etc
- Proficiency in modern programming languages such as Python.
At Dedrone, we believe that great ideas come from anywhere. We support a collaborative environment and value open participation from individuals with different ideas, experiences, and perspectives. We believe having a diverse team makes Dedrone a more interesting and innovative place to work, and we strive to make Dedrone a welcoming and inclusive place for all.
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