AI/ML Research and Engineering Specialist

Full Description

We are seeking an experienced AI/Machine Learning Research and Engineering specialist to develop and optimize production-ready behavioral detection systems. This role involves designing scalable AI/ML models, implementing robust data pipelines, and leveraging cutting-edge research to improve detection accuracy.

Ideal candidates will have hands-on experience in real-time AI applications, anomaly detection, and pattern recognition, with a focus on deploying production-ready AI models. While this role primarily targets intermediate to senior professionals, exceptional junior candidates with an extensive portfolio in AI-driven behavior analysis will also be considered.

The team is open to both intermediate and senior level candidates for this position.

Key Responsibilities:

• Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models.

• Experiment with LLMs for behavior modeling, explainability, and AI-driven security insights.

• Turning unstructured data into useful information by auto-tagging images and text-to-speech conversions.

• Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.

• Developing ML algorithms to analyze huge volumes of historical data to make predictions.

• Research in NLP, Code Embeddings, and writing patents/whitepapers.

• Building models using Graph Machine Learning for predictive analysis tasks.

• Work closely with security analysts and software engineers to develop and refine AI models.

• Keeping abreast of developments in machine learning.

• Implement model monitoring, drift detection, and retraining strategies to maintain high performance.

• Ensure AI solutions are scalable, reproducible, and production-ready.

• Develop end-to-end MLOps pipelines for seamless model training, testing, deployment, and monitoring.

• Contribute to AI patents, research publications, or open-source projects in the field of behavioral analytics.

• Evaluate and prototype novel AI algorithms for improving behavioral analysis.

Required Skills and Qualifications:

• Bachelor's, Master's, or Ph.D. in Computer Science, AI, Data Science, or related fields.

• 3+ years (For an Intermediate Level) or 5+ years (For a Senior Level) experience in AI, MLOps, or Data Engineering.

• Junior candidates with a strong portfolio showcasing AI projects, LLM applications, or behavior detection research will be considered.

• Understanding of Advanced Threat Detection using cutting Edge AI technology.

• Advanced proficiency with Python (must), other programming languages considered a plus.

• Experience in practical MLOps, and knowledge of Data Version Control, Git/SVN.

• In-depth knowledge of mathematics, statistics, and algorithms.

• Superb analytical and problem-solving abilities.

• Great communication and collaboration skills.

• Excellent time management and organizational abilities.

Preferred Qualifications:

• Experience in LLM-based applications for behavior modeling and security analytics.

• Experience with cybersecurity AI, fraud detection, or behavioral analysis.

• Publications, patents, or open-source contributions in AI research.

• Experience with edge AI or IoT-based behavioral detection systems.

We offer competitive benefits including comprehensive medical, dental, and vision coverage, Employee & Family Assistance Plan (EFAP), critical illness, disability, and life insurance, as well as a Group Registered Retirement Savings Plan (RRSP) with a company match to help you save faster for retirement. We also offer Paid Time Off and flexible leave policies, including paid health days, to help you take care of yourself and your family members.

All roles are eligible to participate in the Fortinet equity program. Bonus eligibility is reviewed at time of hire and annually at the Company's discretion.