
Data Science Developer
1 day ago
About People Prime Worldwide:
We guide customers from what's now to what's next by unlocking the value of their data and applications to solve their digital challenges, achieving outcomes that benefit both business and society.
Our focus areas include Digital Transformation, Enterprise AI, Data & Analytics, and Product Engineering—reflecting our strategic commitment to driving innovation and value for clients across industries.
We are seeking a skilled Machine Learning Engineer to join our team. The successful candidate will have experience in building ML Pipelines and setting up big data processing pipelines.
The ideal candidate will be proficient in Python language, familiar with Tensorflow/Keras frameworks, and comfortable with generating data as per model format, tfrecords, lmdb or similar format.
The Machine Learning Engineer will be responsible for evaluating models and benchmarking various model versions on different data, reporting generation, and data analysis and visualization.
The ideal candidate should have a knack for 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.
Able to track and version data used in ML pipeline and report generation.
Good to have: Comfortable with building data analysis, annotation scripts and exploring tools for ease of data understanding and annotations, Experience in data visualization and cleaning for AI/ML projects, Synthetic Data Generation experience.
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