We are looking for a highly capable Senior Machine Learning Developer to optimize our security intelligence platforms based on machine learning systems. You will be evaluating existing machine learning (ML) processes, performing statistical analysis to resolve data set problems, and enhancing the accuracy of our AI software’s predictive automation capabilities.
To ensure success as a machine learning developer, you should demonstrate solid data science knowledge and experience in a related ML role. A first-class machine learning developer will be someone whose expertise translates into the enhanced performance of predictive automation software.

REQUIREMENTS:

• Bachelor’s degree in computer science, data science, mathematics, or a related field.
• Master’s degree in Natural Language Processing, Machine Learning, or similar will be advantageous.
• Past Experience in developing Code embeddings, of any programming language for a real-world ML application.
• Understanding of Advanced Threat Detection using static and dynamic ML.
• At least two years’ experience as a machine learning developer.
• Advanced proficiency with Python code writing.
• Experience in practical MLOps, and knowledge of Data Version Control, Git/SVN.
• Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture.
• 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.
  The Canada base salary range for this full-time position is expected to be between $100,000 - $135,000 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.
  Fortinet strives to provide you and your family with a comprehensive benefits package. Benefits eligibility starts on your first day of hire and comprises of 100% company paid medical, dental, and vision coverage, including a Health Spending Account and a Personal Spending Account that gives you flexibility to spend where you need it the most. Our Employee & Family Assistance Plan (EFAP) offers you and your family access to various services like counseling, legal advice, mental health resources etc. We also provide 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 offer competitive 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.
  

  GD

L

• Consulting with managers to determine and refine machine learning objectives.
• Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models.
• Transforming data science prototypes and applying appropriate ML algorithms and tools.
• Ensuring that algorithms generate accurate user recommendations.
• 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.
• Building MLOps pipelines in an end-to-end manner for complex tasks.
• Running tests, performing statistical analysis, and interpreting test results.
• Documenting machine learning processes.
• Keeping abreast of developments in machine learning.