Follow us on Linkedin: https://www.linkedin.com/company/pulivarthigroup/
Pulivarthi Group LLC is a Global Staffing & IT Technology Solutions company, with our prime focus of providing world class solutions to our customers with the right talent. We combine the expertise of our team and the culture of your company to help you with the solution that is affordable and innovative using high quality standards and technologies.
We’ve served some of the largest healthcare, financial services, and government entities in the U.S.
Job Title: ML Security Engineer
Company Overview
Pulivarthi Group is a premier global provider of staffing and IT technology solutions, renowned for delivering exceptional services tailored to each client's unique needs. With a steadfast commitment to excellence, we merge expertise with innovation, ensuring cost-effective solutions of the highest quality. Our diverse client base spans healthcare, finance, government, and beyond, reflecting our adaptability and proficiency across industries. Operating in the United States, Canada, and Mexico, we pride ourselves on aligning with clients' cultures, deploying top-tier talent, and utilizing cutting-edge technologies. Pulivarthi Group stands as a beacon of reliability, efficiency, and innovation in the realm of staffing solutions.
Job Overview/Summary
We are seeking an experienced ML Security Engineer to design and implement security measures across the machine learning lifecycle. This role involves working closely with data scientists, MLOps, and security teams to safeguard ML systems against emerging threats. The ideal candidate has strong knowledge of both cybersecurity fundamentals and machine learning frameworks.
Responsibilities
Primary Skills
Secondary Skills (Good To Have)
Qualifications
Benefits/Perks
Equal Opportunity Statement
Pulivarthi Group is proud to be an equal opportunity employer. We are committed to building a diverse and inclusive culture and celebrate authenticity. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics.