Full Time
Senior Engineer – American Express Remote Jobs
Job Description
Job Type: Senior Engineer from home
Location: Arizona work from home
Company: American Express
Responsibilities:
- Use automated white box and black box assessments for AI/ML models to implement secure model development life cycle methods.
- Deliver and incorporate robustness, vulnerability, and stress testing for AI into machine learning operations ecosystems.
- Develop enterprise AI stress testing and auditing skills by evaluating and assessing open-source AI security libraries.
- Implement automated safeguards and end-to-end LLM security risk management procedures.
- Apply machine learning models to various application security procedures and tools.
- Utilize cloud-native packaging and deployment strategies, such as containers, serverless, CI/CD, and APIs, to support production deployments of AI/ML safety systems.
- Establish and enforce application security requirements for AI/ML and generative AI.
- Operate and provide production support for AI/ML security systems.
- For AI/ML security systems, manage cloud installations and automation frameworks.
Requirements:
Minimum requirements:
- Tools and approaches for adversarial robustness for machine learning for more than three years.
- Master’s Degree
- Engineering AI security for more than 3 years
- Frameworks for AI Risk Management that have been in use for three years or more.
- 3+ years of experience using data science toolkits, big data, and machine learning techniques (DNN, NLP).
- Writing production code and developing, implementing, and operationalizing high-performance AI/ML pipelines took more than three years.
- three years or more of experience with establishing and operationalizing AI/ML models in public cloud systems.
- 3+ years of analyzing open-source machine learning frameworks, libraries, and tools.
- 3+ years of practical experience with tools, packages, and programming languages utilized in data science.
- 3+ years of expertise in data operations, API connections, development operations, and machine learning operations.
- 3+ years of managing AI workload.
- 3+ years of experience in cloud architecture, design, implementation, and operations.
Preferred credentials:
- Shown contributions to open-source projects, presentations at conferences, or other equivalent actions in peer-reviewed journals.
- A master’s degree in statistics, computer science, software engineering, or data science.
- Professional Certifications for Machine Learning Operations.
Salary: from $110,000 and $190,000 per year, plus bonuses and benefits
