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About the role
As a Data Scientist/Senior Machine Learning Engineer with 6-7 years of experience, your role will involve developing machine learning models and scalable data pipelines using Python and SQL. You will be working on cloud platforms such as Azure, AWS, and Databricks, and deploying machine learning models in environments like SageMaker and Azure ML. Key Responsibilities: - Develop machine learning models - Build scalable data pipelines (ETL/ELT) - Utilize Python and SQL for data analysis - Work on cloud platforms such as Azure, AWS, and Databricks - Deploy machine learning models using SageMaker, Azure ML, etc. Qualifications Required: - Minimum 6 years of experience in Machine Learning - Proficiency in Python, SQL, and ETL processes - Hands-on experience with Azure for at least 6 years Location: Pune (Work from Office) Immediate joiners preferred In case of profile sharing, please ensure the inclusion of the following details: - Current CTC - Expected CTC - Notice Period - Current Location - Confirmation on Pune Work from Office comfort If you possess the required skills and experience, we look forward to receiving your profile at the earliest. As a Data Scientist/Senior Machine Learning Engineer with 6-7 years of experience, your role will involve developing machine learning models and scalable data pipelines using Python and SQL. You will be working on cloud platforms such as Azure, AWS, and Databricks, and deploying machine learning models in environments like SageMaker and Azure ML. Key Responsibilities: - Develop machine learning models - Build scalable data pipelines (ETL/ELT) - Utilize Python and SQL for data analysis - Work on cloud platforms such as Azure, AWS, and Databricks - Deploy machine learning models using SageMaker, Azure ML, etc. Qualifications Required: - Minimum 6 years of experience in Machine Learning - Proficiency in Python, SQL, and ETL processes - Hands-on experience with Azure for at least 6 years Location: Pune (Work from Office) Immediate joiners preferred In case of profile sharing, please ensure the inclusion of the following details: - Current CTC - Expected CTC - Notice Period - Current Location - Confirmation on Pune Work from Office comfort If you possess the required skills and experience, we look forward to receiving your profile at the earliest.
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