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Strong employer brand, metro-based hybrid role, and broad ML skillset make applicant competition high.
Core ML and data engineering skills are transferable across industries, with only optional telecom domain preference.
Explicit 7+ years, mandatory ML frameworks, cloud and big-data experience raise shortlisting strictness to high.
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Analyze large and complex datasets to extract trends and insights using advanced statistical and machine learning techniques.
Develop, validate, and deploy machine learning models supporting core business objectives and predictive analytics.
Collaborate cross-functionally with engineering, product, and business teams to deliver tailored analytics and automate data workflows.
7+ years of experience in Data Science, Machine Learning, or Advanced Analytics roles.
B.Tech or M.Tech degree in Computer Science, Statistics, Mathematics, Data Science, or related field.
Proficiency in Python, SQL; hands-on experience with TensorFlow and/or PyTorch.
Experience with data engineering and cloud platforms (Azure, AWS, or GCP), ETL/ELT pipelines, RDBMS and NoSQL databases.
Demonstrated success developing scalable machine learning solutions with large-scale structured and unstructured datasets including big data technologies.
Strong foundation in statistical modeling, hypothesis testing, data preprocessing, and data visualization tools (Tableau, Power BI, Matplotlib, Seaborn).
Experienced in communicating complex data insights to technical and non-technical stakeholders and mentoring junior team members.