Fortinet Machine Learning Developer 

Canada, British Columbia, Vancouver 

152847524

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

Requirements:

• 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 progamming language 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.

The Canada base salary range for this full-time position is expected to be between $95,000 - $130,000 annually. Wage ranges are based on various factors including the labour market, job type, and job level. Exact salary offers will be determined by factors such as the candidate’s subject knowledge, skill level, qualifications, and experience.