Software Engineer II
Quick Heal Technologies Ltd. (company site, opens in a new tab)4–6 yrsPuneOn-siteDirect career pageEst. 12–22 LPA
Posted 20h ago
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Job description
Structured overview of role & requirements
About This Role
- Analyze structured and unstructured data to generate insights supporting cybersecurity and product use cases.
- Build, validate, and improve machine learning models including classification, clustering, anomaly detection, and risk scoring.
- Collaborate with engineering teams to integrate ML models into applications, support deployment, monitoring, and maintain documentation.
Minimum Requirements
- Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or equivalent.
- 3 to 6 years of hands-on experience in Data Science, Machine Learning, or AI/ML solution development.
- Strong programming skills in Python and good knowledge of SQL.
- Experience with data preprocessing, feature engineering, exploratory data analysis, model evaluation, and basic MLOps concepts.
Ideal Candidate Profile
- Experienced in applying ML algorithms to cybersecurity or product development use cases.
- Able to translate business/product requirements into practical data science or machine learning solutions.
- Capable of collaborating cross-functionally with product, engineering, and security teams to deliver integrated data-driven solutions.