Machine Learning Engineer 672

The global data privacy software market is projected to grow from $2.36 billion in 2022 to $25.85 billion by 2029. 

So, if you are searching for an innovative career, then the cybersecurity industry might just be the one for you. Protegrity, an international provider of data protection solutions, is looking for new team members who want to make an impact in a company that prioritizes something we all care about: our privacy.

We need people who recognize the opportunity, can plan effectively, take action and execute in the enterprise marketplace with our intuitive, diverse, and future-forward global teams. 

So, are you up for collaborating with the best in data security?

Join us on this journey and make an impact with one of the top 25 global software providers. We look forward to making our world become a better place with you on our team. 

Apply and discover what’s next today!

Protegrity is looking for a machine learning engineer. You’ll work in a team of software engineers and machine learning practitioners in designing, building and maintaining applications within the context of data security and data privacy.· Design, develop, and maintain high-quality software applications.

Responsibilities:

• Collaborate with software and machine learning engineers to understand project requirements and design test plans that align with project goals. 
• Implement and maintain automated test suites for APIs, data pipelines and other systems. 
• Integrate tests into CI/CD pipelines to ensure quality during continuous development cycles. 
• Work closely with developers to reproduce bugs and verify fixes. 
• Identify and document issues in JIRA. 
• Collaborate with DevOps to ensure robust deployments, ensuring proper logging/monitoring of systems in production. 

Qualifications:

• 5-7 years of industry experience. 
• Deep learning frameworks (preferably Keras and Pytorch) and machine learning algorithms and respective frameworks. 
• NLP experience. 
• Familiarity with cloud platforms with a focus on AWS is preferred. 
• Common data manipulation frameworks (Pandas, NumPy, etc.). 
• Design and conduct experiments to further improve the performance of machine learning systems. 
• Strong programming skills with fluency in Python. 
• Working knowledge of CI/CD best practices. 

Working Model:

• This role is available as fa hybrid role. You will work out of your home and and generally would require you to attend on-site meetings based on business needs. In certain circumstances the work model may change to accommodate business needs.

Why Protegrity:

• This role offers the opportunity to innovate at the intersection of GenAI safety, privacy, and governance. You will play a pivotal role in helping customers establish trust and compliance in their AI applications while contributing to the company’s technical strategy and industry leadership. Join us in shaping the future of GenAI security.
• We offer a highly competitive compensation and benefits package as well as the excitement, challenges, and rewards of a fast-growing, entrepreneurial company.
• Become a member of a leading Data and GenAI Protection, Privacy and Security company during one of the best market opportunities to come along in a generation.
• Competitive Compensation/Total Reward Packages
• Paid Time Off (PTO)
• Work on global projects with diverse, energetic, team members who respect each other and celebrate differences.

We offer a competitive salary and comprehensive benefits with generous vacation and holiday time off. All employees are also provided access to ongoing learning & development.

Ensuring a diverse and inclusive workplace is our priority. We are committed to an environment of acceptance where you are free to bring your full self to work. All qualified applicants and current employees will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability or veteran status.

Please reference Section 12: Supplemental Notice for Job Applicants in our Privacy Policy to inform you of the categories of personal information that we collect from individuals who inquire about and/or apply to work for Protegrity USA, Inc., or its parent company, subsidiaries or affiliates, and the purposes for which we use such personal information.