| Position/Title | Machine Learning Engineer |
| Job Purpose | -You will own the design, training, and optimization of our phishing and malware detection models. -Your work will directly impact the core detection capabilities of the platform. |
| Role, & Responsibilities | -Build and fine-tune models for detecting phishing, impersonation, and malware Implement –Deep Neural Networks (DNN), XGBoost, and transformer-based models (BERT) -Extract email metadata and textual features for supervised learning -Maintain scalable model inference pipelines compatible with real-time systems -Continuously improve model accuracy through feedback loops and sample injection |
| Experience & Preferred Skills | -2+ years experience Proficient in Python for ML (Pandas, NumPy, scikit-learn, PyTorch or TensorFlow) -Experience with DNN, BERT, and XGBoost model training and optimization -Familiarity with NLP preprocessing and feature engineering techniques -Experience with deploying models into production environments -Comfort with Git and collaborative engineering workflows |
| Compensation | Upto ₹9L per annum |
Machine Learning Engineer
Job Category: IT
Job Type: Full Time
Job Location: Noida
Job Title: Machine Learning Engineer
