Posted:1 week ago|
Platform:
Remote
Full Time
Location : Remote/Hybrid – India Experience : 2+ years About the Role : We are looking for a sharp and hands-on Machine Learning Engineer to 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. Key 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 Required Skillset : 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 Qualities We Value : Analytical and detail-oriented problem solver Proactive learner with a passion for security or NLP Smart, self-driven, and ready to own key components independently Show more Show less
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