Job Description
Job Summary
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We are seeking a highly skilled ML Data Scientist with strong expertise in Machine Learning model design, development, and deployment. This is a business-facing role requiring close collaboration with stakeholders to understand business challenges and translate them into scalable ML solutions. The ideal candidate will have hands-on experience with Python, Azure Databricks ML, and end-to-end ML lifecycle management.
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Key Responsibilities
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- Work directly with business users to gather requirements and identify ML-driven opportunities.
- Design, develop, train, validate, and deploy machine learning models.
- Build and optimize scalable ML pipelines using Python and Azure Databricks.
- Analyze large datasets to generate actionable business insights.
- Monitor model performance and implement improvements as needed.
- Collaborate with data engineering and analytics teams to deliver production-ready solutions.
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Required Skills
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- 7+ years of experience in Data Science and Machine Learning.
- Strong expertise in ML model design, development, and deployment.
- Hands-on experience with Python and ML frameworks/libraries.
- Extensive experience with Azure Databricks ML, MLflow, and Azure cloud services.
- Strong understanding of statistical modeling, predictive analytics, and MLOps concepts.
- Excellent communication skills with the ability to interact effectively with business stakeholders.
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Preferred Skills
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- Experience with Generative AI, NLP, or LLM-based solutions.
- Exposure to Azure Machine Learning and CI/CD for ML deployments.
- Experience working in Agile environments.
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