Machine Learning Engineer

At Zessta, ideation and innovation is a tradition, team spirit a culture, and customer oriented approach a religion. With these values we are treading ahead to become game-changers in the arena of next generation technologies. We are amongst the torch-bearing companies in the SMAC solutions space supporting enterprises to adopt the new wave of technology.

Our passion lies in building solutions that modernize enterprise processes, simplifies commerce and eases life. We cater to companies across diverse industries and have been fortunate to partner with some of the largest brands across the globe.

We believe that satisfied employees and happy customers are the ultimate profit benchmarks and we strive to achieve the same. We offer growth opportunities to committed professionals who believe in visualization and actualizations of their ideas. We are keen on hiring associates who are curious observers, eager learners, and team players. We are looking for people who are passionate about simplifying the complexities of business around them. If you feel you are fit to be a part of this environment, write to us today at hidden_email

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.

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 Institutes preferred.

Experience 3-10 years,