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About the role
Build and deploy machine learning and forecasting models, develop end-to-end data pipelines, and create automated prediction and retraining workflows using large datasets. Monitor and improve model performance, deliver business-focused insights and what-if analyses, collaborate with onshore stakeholders, and mentor junior data scientists.
What they look for
Requirements
Requires 5+ years of data science experience and strong hands-on skills in Python and SQL, along with experience in machine learning methods including forecasting, regression, classification, and clustering. Candidates should know Azure Machine Learning and Snowflake and have experience with MLOps, CI/CD, deployment, model monitoring, Azure DevOps, and Git, as well as strong communication and documentation skills.
Benefits
Full description
Key Responsibilities
- Build and deploy machine learning and forecasting models.
- Develop end-to-end data pipelines using Python and SQL.
- Work with large datasets from Snowflake and Azure environments.
- Monitor model performance and implement improvements.
- Develop automated prediction and retraining workflows.
- Create business-focused insights and what-if analysis.
- Collaborate closely with onshore stakeholders.
- Mentor and review the work of junior data scientists.
Requirements
Required Skills & Experience
- 5+ years of experience in Data Science.
- Strong hands-on experience with Python and SQL.
- Experience in Machine Learning, Forecasting, Regression, Classification, and
Clustering.
- Knowledge of Azure Machine Learning and Snowflake.
- Experience with MLOps, CI/CD, deployment, and model monitoring.
- Familiarity with Azure DevOps and Git.
- Strong communication and documentation skills.
Benefits
- Provident Fund
- Self Insurance
- Family Insurance
- Food
- Team Outing
- Certifications & Training Programs
- CSR
- Town-halls & Workshops
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