Description & Requirements
Experience Level: 3-7 Years
Education Level: BE/B.Tech/ME/ M.Tech (CS or ECE)
v Requirement – 2 (ML Engineer – Data and ML Training Pipeline Engineer)
ü Proficient in Python language. Familiar with Tensorflow/Keras frameworks
ü Experience in building ML Pipeline and setup big data processing pipelines
ü Able to evaluate model and benchmark various model version on different data and report generation
ü Experience in Vision Domain ML models would be an advantage but not must have
ü Comfortable in generating data as per model format, tfrecords, lmdb or similar format.
ü Comfortable in data analysis and visualization
ü Knack for debugging of python compilation, data reading issues.
ü Proficiency in usage of different development tools – git/gerrit, static/dynamic analysis tools, code coverage, test & performance analysis tools
Good to have:
ü Comfortable with building data analysis, annotation scripts and exploring tools for ease of data understanding and annotations.
ü Knack for data debugging and verify which classes/types of data are causing the ML model to fail. Should be comfortable in writing scripts to filter out/analyze such images and should be able to draw a conclusion after verifying the failure cases
ü Experience in data visualization and cleaning for AI/ML projects.
ü Synthetic Data Generation experience
ü Able to track and version data used in ML pipeline and report generation