Data Scientist/Machine Learning Engineer

4 weeks ago


Mumbai, Maharashtra, India Emorphis Technologies Full time

Data Scientist / Machine Learning Engineer Exp - 4 Years Location - Vikroli, Mumbai Looking for Immediate Joiners only We are looking for a dynamic and experienced Data Scientist / Machine Learning Engineer to join our team as an individual contributor. The ideal candidate will have 4 years of experience in the field, with a strong focus on delivering high-quality machine learning models, statistical analysis, and data-driven insights. The role requires effective stakeholder management, clear communication, and a basic understanding of documentation. Key Responsibilities : Individual Contributor : Take full ownership of data science projects from inception to execution, working autonomously while collaborating with key Management : Engage and coordinate with internal and external stakeholders to understand business needs and translate them into actionable data science Understanding & Output Presentation : Gather and analyze business requirements to develop innovative solutions; present clear and concise results to stakeholders. Basic Documentation: Document your processes, models, and solutions to ensure knowledge sharing within the team and maintain consistency in workflows. Technical Expertise : - Proficient in Python and its libraries (e.g., pandas, NumPy, scikit-learn, etc.) for building and deploying machine learning models. - Expertise in machine learning (ML) algorithms, statistical modeling, and model validation. - Hands-on experience with Azure Databricks and Azure Machine Learning for managing end-to-end data science workflows. - Experience with model deployment and monitoring on cloud platforms, particularly Azure. Required Skills & Experience : - 4 years of experience as a Data Scientist / Machine Learning Engineer or similar role. - Strong proficiency in Python and libraries used for machine learning and statistical modeling. - Hands-on experience with Azure Databricks and Azure Machine Learning. - Excellent problem-solving abilities, strong analytical skills, and the ability to derive insights from complex datasets. - Ability to interact effectively with cross-functional teams and manage stakeholder expectations. - Ability to present technical outputs to non-technical stakeholders in a clear, understandable manner. - Basic documentation skills for tracking work processes and delivering project summaries. (ref:hirist.tech)



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