Machine Learning Engineer

Posted Yesterday
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Bangalore, Bengaluru Urban, Karnataka
In-Office
Mid level
Information Technology • Cybersecurity
The Role
The Machine Learning Engineer is responsible for developing efficient AI models, handling data preprocessing, and collaborating with teams for model improvement and deployment.
Summary Generated by Built In

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 requirement.
  • 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.


 

Top Skills

C/C++
Dockers
Mlflow
Python
PyTorch
TensorFlow
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The Company
HQ: Austin, TX
327 Employees
Year Founded: 2012

What We Do

Eagle Eye Networks is the #1 provider of on-demand, true cloud based security and operations video management system (VMS) worldwide. Eagle Eye utilizes artificial intelligence to provide a simply smarter platform, purpose-built to help businesses improve safety, security, operations, and reduce costs. Eagle Eye also provides an open API for easy integration with applications that complement and extend the offering in innovative and useful ways. The Eagle Eye Platform offers secure, encrypted recording, camera management, mobile viewing, alerts and search – all in the cloud. The API platform uses the Eagle Eye Big Data Video Framework™, with time based data structures used for indexing, search, retrieval and analysis of the live and archived video. Eagle Eye Networks sells through authorized reseller and installation partners.

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