Job Description:
Develop and productionize machine learning models for business and analytical use cases.
Perform data analysis, preprocessing, feature engineering, model training, and evaluation.
Write clean, scalable, and maintainable Python code.
Work extensively with SQL for data extraction, transformation, analysis, and validation.
Use Jupyter Notebooks for exploratory data analysis, experimentation, and model development.
Use Papermill to parameterize and automate Jupyter notebook execution as part of data science workflows.
Implement MLflow for experiment tracking, model versioning, model management, and reproducibility.
Deploy and manage machine learning workflows on AWS.
Develop repeatable and automated ML pipelines from experimentation through production.
Monitor model performance and identify prospects for model improvement.
Collaborate with Data Engineers, Software Engineers, Product Managers, and business stakeholders.
Document models, experiments, assumptions, methodologies, and results.
Follow best practices around MLOps, version control, testing, reproducibility, and model governance

📌 Data Scientist Bengaluru
🏢 Acme Services Private
📍 Bengaluru