
Data Scientist Specialist
4 days ago
About our company:
We are a global digital solutions and technology consulting firm that helps clients drive innovation and value across industries.
We operate in multiple sectors, including Banking, Financial Services & Insurance (BFSI), Technology, Media & Telecommunications (TMT), Healthcare & Life Sciences, and Manufacturing & Consumer.
Our expertise includes Digital Transformation, Enterprise AI, Data & Analytics, and Product Engineering.
As a Machine Learning Engineer, you will be proficient in Python language and familiar with Tensorflow/Keras frameworks.
You will have experience in building ML Pipeline and setting up big data processing pipelines.
Your skills should include evaluating models, benchmarking various model versions on different data, and reporting generation.
Experience in Vision Domain ML models would be an advantage but not mandatory.
You will be comfortable generating data as per model format, tfrecords, lmdb or similar formats.
You should also be skilled in data analysis and visualization, debugging of python compilation, data reading issues, and proficiency in usage of different development tools – git/gerrit, static/dynamic analysis tools, code coverage, test & performance analysis tools.
Key Responsibilities:
- Data analysis, annotation scripts, and exploring tools for ease of data understanding and annotations
- Data debugging and verifying which classes/types of data are causing the ML model to fail
- Writing scripts to filter out/analyze such images and drawing a conclusion after verifying the failure cases
- Data visualization and cleaning for AI/ML projects
- Synthetic Data Generation
- Tracking and versioning data used in ML pipeline and report generation
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