Turtleneck Systems & Solutions Pvt Ltd
Website:
turtleneckcs.com
Job details:
Company Description Turtleneck Systems & Solutions Pvt Ltd is a 100% Indian startup focused on delivering next-generation cybersecurity solutions across network security, endpoint security, cyber threat intelligence, consulting, system integration, and customized solutions. The organization serves a diverse client base, including private industries, government bodies, public sector undertakings, and defense and paramilitary organizations. Turtleneck designs and deploys tailored cybersecurity infrastructures that safeguard clients’ strategic and technological interests in a rapidly evolving digital landscape. The company is committed to innovation and resilience, helping organizations navigate complex cyber challenges with advanced security measures and expert insights. Turtleneck is ISO 9001:2015 and ISO/IEC 27001:2022 certified and is incubated with DSC, supporting continuous innovation and growth.
Role Description The Director of Machine Learning is a full-time, on-site role based in Noida. This role oversees the design, development, and deployment of machine learning solutions that strengthen Turtleneck’s cybersecurity products and services. Daily responsibilities include leading ML research and experimentation, defining technical roadmaps, guiding the development of models for threat detection, pattern recognition, and NLP, and integrating these models into production-grade systems. The Director collaborates with cross-functional teams to translate business and security requirements into data-driven solutions, mentors ML and data science teams, and establishes best practices for model evaluation, performance, and governance. The role also involves staying current with emerging ML techniques and security trends, contributing to strategic decision-making, and representing the organization in technical discussions with clients and partners.
Qualifications
- Strong foundation in Computer Science, including algorithms, data structures, and software engineering principles.
- Expertise in Data Science and Statistics for modeling, hypothesis testing, and performance evaluation.
- Advanced skills in Pattern Recognition for anomaly detection, behavioral analysis, and threat classification.
- Hands-on experience with Natural Language Processing (NLP) for analyzing logs, communications, and threat intelligence data.
- Proficiency with machine learning frameworks and tools (e.g., TensorFlow, PyTorch, scikit-learn) and programming languages such as Python.
- Demonstrated experience leading ML teams, managing end-to-end ML lifecycles, and delivering production-ready solutions.
- Background in cybersecurity or related domains, with an understanding of security architectures and threat landscapes.
- Master’s or PhD in Computer Science, Data Science, AI/ML, or a related technical field, or equivalent practical experience.
- Strong analytical, communication, and stakeholder management skills, with the ability to collaborate across multidisciplinary teams.
Click on Apply to know more.
