As a Data Science Engineer Intern at V-Patrol AI, a dynamic and forward-thinking cybersecurity organization, you will play a crucial role in developing and implementing cutting-edge machine learning and deep learning models. Your primary focus will be on creating scalable data pipelines and generating valuable insights in real-time to counter cyber threats effectively. Your responsibilities will include designing and executing machine learning and deep learning models tailored for cybersecurity applications. Additionally, you will be involved in constructing and overseeing data pipelines for both structured and unstructured data sources such as network logs and threat feeds. Integrating APIs for model deployment and ensuring seamless real-time data flow will also be a key aspect of your role. Collaboration with software engineers, analysts, and stakeholders to support data-informed decision-making processes is essential. Monitoring model performance and optimizing them for production environments will be part of your routine tasks. Furthermore, you will be responsible for conveying your findings through informative dashboards, reports, and visualizations. To excel in this role, you should hold a Bachelor's or Master's degree in data science, computer science, statistics, or a related field. Proficiency in Python, pandas, scikit-learn, and TensorFlow/PyTorch is necessary. Hands-on experience with REST APIs, Fast API/Flask, and data preprocessing techniques is crucial. Familiarity with various ML/DL models like XGBoost, LSTMs, and Transformers is expected. Exposure to cloud platforms such as AWS/GCP, ETL tools, Docker/Kubernetes, etc., would be advantageous. While not mandatory, prior experience in cybersecurity, particularly in areas like threat detection and incident response, would be beneficial. In addition to the required skills and experience, expertise in adversarial machine learning and natural language processing (NLP) will be considered a significant advantage. Having a GitHub profile or a portfolio showcasing real-world projects in data science or cybersecurity will be a strong preference. This position is an internship opportunity that requires your presence at the designated work location.,
We're Hiring | Data Science Engineer Department: Data Science Employment Type: Full-Time Apply Now: https://lnkd.in/gn3U8bbD Join V-Patrol AI — a fast-paced, innovative cybersecurity company — as a Data Science Engineer. In this role, you'll help design, develop, and deploy advanced machine learning and deep learning models, build scalable data pipelines, and deliver impactful insights in real-time to combat cyber threats. Key Responsibilities: Design & develop machine learning and deep learning models for cybersecurity use cases. Build and manage data pipelines for structured/unstructured data (e.g., network logs, threat feeds).Develop and integrate APIs for model deployment and real-time data flow. Collaborate with software engineers, analysts, and stakeholders to drive data-driven decisions. Monitor model performance and optimize for production environments .Communicate findings effectively through dashboards, reports, and visualizations. Required Skills & Experience: Education: Bachelor's or Master’s in Data Science, Computer Science, Statistics, or a related field. Strong command over Python, pandas, scikit-learn, TensorFlow/PyTorch. Experience with REST APIs, FastAPI/Flask, and data preprocessing techniques. Knowledge of ML/DL models like XGBoost, LSTMs, Transformers, etc. Exposure to cloud platforms (AWS/GCP), ETL tools, Docker/Kubernetes, etc. Cybersecurity experience is a plus (e.g., threat detection, incident response). Preferred (Bonus):Experience in adversarial ML and NLP.GitHub or portfolio of real-world projects in data science or cybersecurity. Why Join Us?Work in a high-growth, innovative cybersecurity environment.Opportunity to solve real-world cyber threat challenges with cutting-edge ML/DL models.Collaborate with talented engineers and data scientists. Job Type: Full-time Pay: ₹348,246.23 - ₹702,430.41 per year Benefits: Provident Fund Application Question(s): Are you Comfortable for Gurugram location? Have you completed your course/Program? Work Location: In person