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. (ref:hirist.tech)

Location: hyderabad, IN

Posted Date: 5/9/2025