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Mid-level ML role, Pune metro, broad ML/Python/SQL requirements increases applicant competition.
Core ML, Python, and SQL skills are highly transferable across industries despite cybersecurity preference.
Explicit years (4-7) plus mandatory ML/Python/SQL and MLOps skills make filters strict.
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Analyze and preprocess data to build and validate machine learning models supporting cybersecurity and product use cases.
Collaborate with engineering teams to integrate ML outputs into applications, dashboards, or workflows and support model deployment and monitoring using basic MLOps practices.
Generate actionable insights through exploratory data analysis and report findings to cross-functional teams to inform business and product decisions.
3 to 6 years of hands-on experience in Data Science, Machine Learning, or AI/ML solution development.
Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or equivalent.
Strong programming skills in Python and good knowledge of SQL handling structured and unstructured data.
Experience with ML algorithms including classification, regression, clustering, anomaly detection, and predictive modeling; practical skills in data preprocessing, feature engineering, and model evaluation.
Proven track record working on machine learning projects involving cybersecurity analytics or anomaly detection preferred but not mandatory.
Experience collaborating closely with engineering teams to deploy and operationalize ML models with basic MLOps understanding.
Comfortable working in data-driven environments requiring cross-functional coordination and clear communication of technical insights.