ABOUT US: 

 We are IRONSCALES, We Fights Phishing. IRONSCALES is a self-learning, AI-driven email security solution that continuously detects and remediates advanced threats for global organizations of any size. Our solution is fast to deploy, easy to operate, and provides unparalleled protection against email threats.  

We care about people. We care about cybersecurity. We care about our customers and partners. Our team acts with intentionality and our actions are always in the best interest of our teams, our customers, and our company. Our culture is focused on innovation, continuous improvement, and the drive to push boundaries and take everything to the next level. We are a rapidly growing team and welcome all people who love a fast-paced, rewarding challenge to join our team today!

  We are seeking an experienced Machine Learning Engineer to be a part of our Data team.

RESPONSIBILITIES:

• Explore data to discover useful features and anomalies for detecting phishing.
• Train machine learning models to classify phishing emails.
• Model Validation models using common metrics such as precision, recall and others.
• Deploy models in a complex distributed system.
• Monitor ML models in production.
• Stay up to date with the latest developments in ML.

REQUIREMENTS: 

• Bachelor’s Degree or equivalent qualification.
• Excellent communication skills and ability to work effectively within a dynamic team environment.
• Minimum of 3 years of hands-on experience as a Data Scientist or Machine Learning Engineer.
• Proficiency in Python is a must.
• Demonstrable experience in end-to-end development processes.
  
  

• Experience with version control systems, particularly Git, is advantageous.
• Knowledge in Natural Language Processing (NLP) is a plus.
• Familiarity with AWS Cloud environment and cloud computing is advantageous.

IRONSCALES is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, colour, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.