5 jobs found

It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today - ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone. *PLEASE NOTE, THIS ROLE REQUIRES A MINIMUM OF 2 DAYS A WEEK IN ANYONE OF OUR SERVICENOW OFFICES THROUGH THE U.S.....If you cannot commit to 2 days per week in a ServiceNow Office.......... PLEASE DO NOT APPLY, THANK YOU VERY MUCH * The ServiceNow Security Organization (SSO) The ServiceNow Security Organization (SSO) delivers world-class, innovative security solutions to reduce...

Job Seekers can review the Job Applicant Privacy Policy by clicking here (http://ryder.com/job-applicant-privacy-policy) . Summary Job Description : The Senior AI Security Architect is a member of the Information Security Offensive Security team and reports to the Director of Offensive Security. The Senior AI Security Architect is responsible for leading the design and implementation of security controls to secure generative AI solutions across the enterprise. Partnering with AI development teams, the Senior AI Security Architect will work to embed security into model training, deployment, and usage while defining architecture patterns, controls, and threat models tailored to AI/ML systems. Essential Functions Architect secure AI/ML pipelines and model deployment environments Develop AI-specific threat models and security controls Collaborate with engineering and data science teams to ensure secure design Evaluate third-party AI tools and APIs for security risks....

Job Seekers can review the Job Applicant Privacy Policy by clicking here (http://ryder.com/job-applicant-privacy-policy) . Job Description : Summary The Senior AI Security Architect is a member of the Information Security Offensive Security team and reports to the Director of Offensive Security. The Senior AI Security Architect is responsible for leading the design and implementation of security controls to secure generative AI solutions across the enterprise. Partnering with AI development teams, the Senior AI Security Architect will work to embed security into model training, deployment, and usage while defining architecture patterns, controls, and threat models tailored to AI/ML systems. Essential Functions Architect secure AI/ML pipelines and model deployment environments Develop AI-specific threat models and security controls Collaborate with engineering and data science teams to ensure secure design Evaluate third-party AI tools and APIs for security...

Job Title: AI Engineer / GenAI Engineer Experience: 7+ Years (After Bachelor's Degree) Employment Type: Long-Term Contract ( W2 All Inclusive ) Work Locations: Multiple Locations across the USA Relocation: Required (Open to Relocation Candidates Only) Pay Rate: $30 $40/hour on W2 (All Inclusive) Visa Sponsorship: Available upon securing the project Job Description We are seeking an experienced AI Engineer / Generative AI Engineer to design, develop, and deploy AI-driven and Generative AI solutions for enterprise applications. The ideal candidate must have a minimum of 7 years of professional experience after completing a Bachelor's degree and be open to relocating anywhere in the United States based on project needs. This is a long-term W2 contract opportunity , with visa sponsorship available for eligible candidates after project allocation. Key Responsibilities: Design, build, and deploy AI and Generative AI solutions Develop and fine-tune large language models (LLMs) and...

Cloud AI/ML Engineer Duration: 6+ Months Rate: $45-47/hr on W2 Location: REMOTE from US Our Minimum Requirements Include: Bachelor's or Master's degree in Computer Science, Data Science, or related technical field, or equivalent experience. Proven ability building and deploying ML models, with at least 2 years focused on cloud operations. Solid knowledge of cloud technologies (AWS, Google Cloud Platform, Azure, OCI). Experience with Python, PySpark, and ML libraries such as PyTorch, TensorFlow, or scikit-learn. Comfortable working with streaming data, APIs, and telemetry systems. Experience with AWS Glue ETL, AWS Athena, Snowflake, and Apache Airflow DAGs. Strong communication and multi-functional collaboration skills. Experience with Agile and DevOps operating models, including project tracking tools (e.g., Jira), Git (any Version Control systems), and CI/CD systems (e.g., GitLab, GitHub Actions, Jenkins). Proficient in general-purpose programming languages...