Turtleneck Systems & Solutions Pvt Ltd
Website:
turtleneckcs.com
Job details:
Company Description
Turtleneck Systems & Solutions Pvt Ltd is an Indian startup specializing in next-generation cybersecurity solutions. We provide expertise in network security, endpoint security, CTI generation, system integration, and cyber consulting. Our tailored solutions are designed to meet the unique needs of private industries, government organizations, public sector undertakings, and defense and paramilitary organizations. Our mission is to protect the digital infrastructure of our clients with advanced technologies and innovative strategies. Turtleneck holds ISO 9001:2015 and ISO/IEC 27001:2022 certifications and operates as an incubated organization under DSC, committed to promoting innovation in cybersecurity.
Role Description
This is a full-time on-site AI ML Engineer role located in Noida. The responsibilities include designing, building, and deploying scalable AI/ML models and algorithms tailored to cybersecurity use cases. The role also involves data preprocessing, feature engineering, and integrating models into production environments. Additionally, the AI ML Engineer will assess model performance, fine-tune algorithms, and stay updated with advancements in machine learning and artificial intelligence for practical application within cybersecurity.
Qualifications
- Strong skills in Machine Learning, Artificial Intelligence, and Deep Learning for building robust, scalable models.
- Proficiency in Data Preprocessing, Data Analysis, and Feature Engineering to prepare and manage datasets effectively.
- Expertise in programming languages such as Python and R, as well as AI/ML frameworks like TensorFlow, PyTorch, or Scikit-learn.
- Knowledge of Cybersecurity concepts and their relevance to AI-based applications is highly preferred.
- Experience in deploying machine learning models into production environments and working with cloud platforms such as AWS, Azure, or GCP.
- Strong problem-solving, analytical, and critical-thinking skills with a focus on delivering high-quality solutions.
- A Bachelor’s degree or higher in Computer Science, Data Science, or related fields.
- Optional but beneficial: Knowledge of natural language processing (NLP), computer vision, and reinforcement learning frameworks.
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