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Tier-1 brand, metro location, mid-level ML/Data Scientist role with broad required skills increases applicant competition.
Core ML, data engineering and deployment skills are broadly transferable across industries.
Multiple mandatory technical skills (ML, deployment, cloud, Docker) but no explicit years requirement.
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Identify and develop data-driven business solutions by analyzing complex datasets and designing customized AI/ML algorithms.
Create scalable AI/ML/statistical models for deployment across multiple business units with minimal customization.
Lead projects independently, provide technical guidance, and develop dashboards to communicate insights to stakeholders.
Experience with advanced machine learning algorithms and statistical methods.
Proficiency in Python for data exploration, feature engineering, and quality assurance.
Experience with deployment technologies including Flask/Django, cloud platforms (Azure/AWS), Docker, and CI/CD pipelines.
Education: B.E. (Bachelor of Engineering). Work Experience Required: Not explicitly mentioned in the JD.
Experienced in end-to-end machine learning lifecycle including model development, deployment, and monitoring in cloud environments.
Able to independently lead technical projects and mentor team members.
Skilled in translating technical findings into clear, actionable business recommendations and stakeholder communication.