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Ml Engineer
2 weeks ago
Requirement (ML Engineer – Data and ML Training Pipeline Engineer)
Proficient in Python language. Familiar with Tensorflow/Keras frameworks
Experience in building ML Pipeline and setup big data processing pipelines
Experience in OCR, Computer Vision and NLP is must
Able to evaluate model and benchmark various model version on different data and report generation
Experience in Vision Domain ML models would be an advantage but not must have
Comfortable in generating data as per model format, tfrecords, lmdb or similar format.
Comfortable in data analysis and visualization
Knack for debugging of python compilation, data reading issues.
Proficiency in usage of different development tools – git/gerrit, static/dynamic analysis tools, code coverage, test & performance analysis tools
Good to have:
Comfortable with building data analysis, annotation scripts and exploring tools for ease of data understanding and annotations.
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
Experience in data visualization and cleaning for AI/ML projects.
Synthetic Data Generation experience
Able to track and version data used in ML pipeline and report generation
