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

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.