What are the responsibilities and job description for the Machine Learning Engineer position at Eagle Eye Networks Inc?
About Eagle Eye Networks:
Eagle Eye Networks is the world's leading cloud video surveillance platform. Powered by an ever evolving set of powerful AI and analytics, our open platform provides global security, instantaneous visibility and customizable insights directly to our customers on the Web, Desktop and Mobile.
Overview:
Eagle Eye Networks leverages AI models that handle a variety of use cases. As a Machine Learning Engineer, you are responsible for development of AI models that are efficient, run at scale and handle a huge diversity of data.
Detailed roles and responsibilities:
- Handle all aspects of data filtering and agglomeration.
- Collaborate with other ML Engineers to brainstorm on best practices, updates on SOTA models.
- Handle all translation of problem requirements to choice of architecture, codebase, and datasets. Enhancements of in-house / available open-source repositories to meet problem requirements.
- Work with data labeling teams to handle annotation metadata for your datasets.
- Handle all aspects of the Machine Learning cycle including data preprocessing, augmentations, training, model and experiment versioning, ablation studies and benchmarking.
Experience: 2-4 Years
Desired Skills:
- Bachelors or Masters Degree in Computer Science or related disciplines.
- At least 1 year of experience with LLMs/VLMs including their architecture, training, datasets, and knowledge of SOTA models and frameworks to leverage these models.
- Strong theoretical and prior experience of CNNs and Transformers including their usage in at least one successful product deployment
- Fluency in Python Programming.
- Working knowledge of C/C desirable.
- Familiarity with ML Frameworks like Pytorch, TensorFlow etc.
- Familiarity with MLOps, including Model Quantization, usage of annotation tools and model versioning tools like MLFlow.
- Strong background in Mathematics and Statistics.
- Sharp problem solving skills and ability to resolve ambiguous requirements.
- Familiarity with Dockers.
Eagle Eye Engineering:
Our engineering teams take products from ideation through development and deployment. Businesses all over the world trust us to operate in real time as our solutions gather, process, view and add insight to petabytes of real time video all hosted in our own secure data centers.. No matter if you wish to develop lightweight microservices, ground breaking AI or delightful web or mobile user experiences, we have a challenge for you.