Job Role- Data Science ( Machine Learning )

Exp- 7 years

Location- PAN India

Role & responsibilities

Design develop and evaluate machine learning models and inference pipelines for enterprise AI use cases across retail operations merchandising customer experience supply chain and corporate functions

Build productionquality Python code for model training evaluation preprocessing postprocessing inference services and reusable model components

Partner with Data Scientists to define ground truth datasets labeling requirements evaluation metrics confidence thresholds and acceptable error tradeoffs

Partner with MLOps Cloud ML Engineering to package register deploy monitor and optimize models in cloud edge or hybrid environments

Evaluate and select model architectures pretrained models finetuning approaches and inference strategies appropriate for the business problem and operating workplace





Prepare and transform approved structured and unstructured data for model development while following privacy retention and acceptableuse constraints

Build or integrate data labeling sampling augmentation and validation workflows needed for model development and evaluation

Optimize inference performance for latency cost throughput reliability and deployment target

Implement model output schemas and event metadata structures in partnership with Data Engineering and APIapplication teams

Integrate model outputs with APIs event streams dashboards reports applications or other approved enterprise presentation layers

Write automated tests for model code preprocessing logic inference services schema contracts and regression checks

Interested candidate can share updated profile on [email protected]

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