Hybrid
Full-Time
Bengaluru, Karnataka
India
About the Role
Company Overview
At Cydenti, we lead the charge in SaaS security, delivering innovative solutions to protect organizations from cyber threats. Our work centers on safeguarding cloud-based environments and strengthening identity protection through advanced, AI-powered technologies. Join us to drive the next generation of cybersecurity.
Job Summary
We are looking for a Senior AI/ML Engineer to spearhead the creation of AI-driven security solutions for our SaaS platform. You will build and deploy machine learning models to identify threats, detect anomalies, and bolster security across cloud applications. Working closely with cross-functional teams, you’ll integrate AI into our security framework to stay ahead of emerging risks.
Responsibilities
Design and implement machine learning models to detect threats and analyze anomalies in SaaS environments, using data like sign-in logs and user activity.
Develop and implement GenAI solutions using Langchain, Embedding, and Retrieval techniques to enhance security analytics.
Leverage Augmented Generation and Model Context Protocol to improve threat detection and response capabilities.
Process and analyze large datasets to uncover patterns and potential security vulnerabilities.
Integrate AI-driven tools with existing security systems to streamline threat detection and response.
Partner with cybersecurity specialists to adapt solutions to the latest threat trends.
Optimize algorithms for performance and scalability in real-time, large-scale settings.
Keep up with advancements in AI and machine learning, applying relevant breakthroughs to our security platform.
Document technical approaches and share insights with team members and stakeholders.
Required Qualifications
Advanced degree in Computer Science, Machine Learning, Data Science, or a related discipline.
3+ years of experience in machine learning, AI, or data science, ideally applied to security challenges.
Proficiency in Python and machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn).
Experience with large language models (LLMs) and their application in security contexts.
Proficiency in working with GenAI technologies, including Langchain, Embedding, Retrieval, Augmented Generation, and Model Context Protocol.
Hands-on experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and SaaS ecosystems.
Strong grasp of cybersecurity fundamentals, including threat detection and identity management.
Ability to handle large datasets and deliver scalable AI solutions.
Sharp problem-solving skills and a collaborative mindset.
Preferred Skills
Familiarity with big data tools (e.g., Hadoop, Spark).
Understanding of identity and access management concepts.
Exposure to security compliance standards or frameworks.
Experience with behavior analytics or pattern recognition.
Clear communication skills for explaining technical concepts to varied audiences.
Why Join Us?
At Cydenti, you’ll tackle groundbreaking projects that redefine SaaS security. We offer a dynamic team environment, competitive pay, and the chance to grow with top-tier professionals.
At Cydenti, we lead the charge in SaaS security, delivering innovative solutions to protect organizations from cyber threats. Our work centers on safeguarding cloud-based environments and strengthening identity protection through advanced, AI-powered technologies. Join us to drive the next generation of cybersecurity.
Job Summary
We are looking for a Senior AI/ML Engineer to spearhead the creation of AI-driven security solutions for our SaaS platform. You will build and deploy machine learning models to identify threats, detect anomalies, and bolster security across cloud applications. Working closely with cross-functional teams, you’ll integrate AI into our security framework to stay ahead of emerging risks.
Responsibilities
Design and implement machine learning models to detect threats and analyze anomalies in SaaS environments, using data like sign-in logs and user activity.
Develop and implement GenAI solutions using Langchain, Embedding, and Retrieval techniques to enhance security analytics.
Leverage Augmented Generation and Model Context Protocol to improve threat detection and response capabilities.
Process and analyze large datasets to uncover patterns and potential security vulnerabilities.
Integrate AI-driven tools with existing security systems to streamline threat detection and response.
Partner with cybersecurity specialists to adapt solutions to the latest threat trends.
Optimize algorithms for performance and scalability in real-time, large-scale settings.
Keep up with advancements in AI and machine learning, applying relevant breakthroughs to our security platform.
Document technical approaches and share insights with team members and stakeholders.
Required Qualifications
Advanced degree in Computer Science, Machine Learning, Data Science, or a related discipline.
3+ years of experience in machine learning, AI, or data science, ideally applied to security challenges.
Proficiency in Python and machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn).
Experience with large language models (LLMs) and their application in security contexts.
Proficiency in working with GenAI technologies, including Langchain, Embedding, Retrieval, Augmented Generation, and Model Context Protocol.
Hands-on experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and SaaS ecosystems.
Strong grasp of cybersecurity fundamentals, including threat detection and identity management.
Ability to handle large datasets and deliver scalable AI solutions.
Sharp problem-solving skills and a collaborative mindset.
Preferred Skills
Familiarity with big data tools (e.g., Hadoop, Spark).
Understanding of identity and access management concepts.
Exposure to security compliance standards or frameworks.
Experience with behavior analytics or pattern recognition.
Clear communication skills for explaining technical concepts to varied audiences.
Why Join Us?
At Cydenti, you’ll tackle groundbreaking projects that redefine SaaS security. We offer a dynamic team environment, competitive pay, and the chance to grow with top-tier professionals.