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3 Weeks ago

Zessta - Senior Machine Learning Engineer - Deep Learning/Artificial Intelligence

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Bangalore, Karnataka, India
Information Technology
Full-Time
Zessta Software Services Private Limited

Overview

Responsibilities

  • Designing and developing machine learning and deep learning systems according to the requirements.
  • Analysing the ML algorithms that could be used to solve a given problem and ranking them by their success probability.
  • Independently handle bug fixes and releases to production.
  • Verifying data quality, and/or ensuring it via data cleaning.
  • Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world.
  • Perform self-testing, integration testing and deployment testing.
  • Deployment of code to production environment following the procedures and standards diligently.
  • Explore and analyze the suitability of third-party libraries.
  • Deploying models to production.

Skills And Experience

  • Proven experience as a Machine Learning Engineer or similar role.
  • Understanding of data structures, data modelling and software architecture.
  • Deep knowledge of linear algebra, probability, statistics and ML algorithms.
  • Good knowledge of data structures and algorithms and implementing them in C/C++.
  • Working experience with device drivers on Linux specifically related to real-time video streaming pipeline using v4l2, Gstreamer, UVC driver, Nvidia accelerated Gstreamer, low latency video capture.
  • Ability to write robust code in Python, R and Java.
  • Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like Numpy, pandas, seaborn, scikit-learn, etc.
  • Proficiency with a deep learning framework such as TensorFlow or Keras.
  • Proficiency with OpenCV.
  • Linux SysAdmin skills.
  • Git management, source code build and release management.
  • Ability to select hardware to run an ML model with the required latency.
  • Experience in Image Processing is preferable.
  • Excellent communication skills.

(ref:hirist.tech)
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