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.
- Positive 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.
- Knowledge of C Embedded programming is preferred.
- 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.
Education and Experience:
- Bachelors or Masters from Premier Ins