Machine Learning Engineer
1 day ago
**Title - Machine Learning Engineer, Integrations and Deployment Team
At Datature, we are building a platform for training and deploying machine learning models swiftly without a single line of code. Datature Nexus is an MLOps platform that allows users to label unstructured data and construct complex machine learning pipelines all in their browser using highly visual editors.
Our users have leveraged our platform to solve problems in a myriad of verticals - from grading crops to optimizing manufacturing to identifying diseases from MRI scans. Datature levels the playing field for teams and companies in most industries to start AI-driven revolutions of their own
**The Scope
Datature's machine learning system is an industry-agnostic image that can be quickly spun up to ingest per-project data and run transfer learning at scale given the parameters.
You will be helping us expand our architectural offering and hyperparameters available for users to tune and optimize. In addition, you will be working on Datature’s Insights and MLOps offering to help users build better, fairer, models.
**Requirements**:
- 2-4 years of experience developing and integrating machine learning systems with industrial systems
- Experience with stacks that includes **PyTorch **, **Keras, **and **TensorFlow**:
- Possess some technical foundation in hardware/camera integrations - **FFMPEG, RaspberryPi, **and other stream processing methods
- Experienced in **Python Programming **and have demonstrated the ability to ship codes into production settings
- Experience building, maintaining, and debugging real-time computer vision systems
- Some experience with container-centric architectures, built with **Docker **and tools like **Kubernetes**:
- Experience or interest in deep-learning systems, serving APIs leveraging CUDA, GPUs and hardware acceleration, and ML development workflow
**About You
You are a reliability-minded engineer passionate about uptime and data integrity. You follow the State-of-the-Art for computer vision and propose new methods to help users yield value from their unstructured data quickly.
Above all, you have a passion for data, machine learning, and user experience. You understand the tradeoffs with each line of code and have an idea of what the various priorities are with each project.
**Why You'll Love Us
We are a technology-first team dedicated to developing the most intuitive and performant platform to shape the way users think about building machine learning capabilities. We are a quirky group of engineers whom you will enjoy debating about codes and algorithms with. Gone are the days when you have to build yet another internal Jupyter Notebook with stakeholders who just don't care.
You will be solving the most important problems at the intersection of machine learning, design, and computational geometry. You will have the largest impact on how users feel and navigate the journey from end to end on our platform.
If this is your cup of tea, we would love to hear from you.
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