Write code in Python / R in using various statistical techniques and machine learning models, maintain all the code in repository such as Git / Bitbucket
Experience in using ML friendly tech stack, PyTorch, TensorFlow, scikit-learn, pandas, Python / R, deep learning frameworks, comfortable with database SQL queries, AWS Athena, BigQuery and Google Analytics tagging/ integration, ML models for information retrieval algorithms, transformers/encoders, ANN/KNN search
Develop visualization of data with tools such as Jupyter notebooks and integrations with Tableau
A/B test evaluation, share the findings with the team. Ability to communicate summarized results to technical and non-technical stakeholders to help them make decision.
Work with search engineers and data engineers in integrating ML models, analytics pipeline, work with ML Engineers/Data Engineers in deploying models to production, participate in MLOps processes