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Strong employer brand and metro location increase competition, but senior ML specialization reduces applicant density.
Core ML/AI skills transfer across industries, though domain experience (telecom/finance/healthcare) provides advantage.
Multiple mandatory technical skills, senior title, and explicit 7+ years requirement increase shortlisting strictness.
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Analyze large datasets using advanced statistical techniques to extract trends and insights.
Develop, validate, and deploy machine learning models to drive business objectives and predictions.
Collaborate cross-functionally to deliver tailored analytics solutions and automate data pipelines for efficiency.
7+ years of experience in Data Science, Machine Learning, or Advanced Analytics roles.
B.Tech / M.Tech in Computer Science, Statistics, Mathematics, Data Science, or related field.
Proficiency in Python, SQL, TensorFlow and/or PyTorch; experience with cloud data platforms (Azure, AWS, GCP) and ETL pipelines.
Strong knowledge of statistical modeling, hypothesis testing, data preprocessing, and handling large-scale structured/unstructured data.
Experienced in managing and deploying ML models in production environments with scalable data pipelines.
Skilled at working with big data and cloud platforms, familiar with visualization tools to communicate insights effectively.
Demonstrates ability to lead and mentor teams in advanced analytics within complex, data-driven business settings.