American Express

Senior Artificial Intelligence Engineer

American Express

Palo Alto, CA, USA
Full-TimeDepends on ExperienceMid-LevelPhd or Professional
Job Description

American Express is looking for an experienced Senior Artificial Intelligence Engineer to join our team and help shape the future of our products and services. As a Senior AI Engineer, you will be responsible for developing and deploying AI models to solve complex business problems. You will collaborate with other engineers and product managers to deliver innovative solutions that enable business success.To be successful in this role, you must have a strong background in mathematics, computer science, and artificial intelligence. You should possess excellent problem-solving and communication skills, have a keen eye for detail, and be able to work independently as well as in a team environment. Additionally, you should have a working knowledge of AI software and libraries such as TensorFlow, Keras, Scikit-learn, and PyTorch.We're looking for a creative and passionate team member who will bring fresh ideas to the table and help us stay at the forefront of AI technology. If you're a driven individual who is eager to make a tangible impact, this could be the perfect opportunity for you.

Responsibilities:

  1. Develop and deploy AI models to solve complex business problems.
  2. Collaborate with engineers and product managers to deliver innovative solutions.
  3. Analyze data and develop algorithms to improve system performance.
  4. Research and implement new AI technologies.
  5. Monitor and optimize AI models for accuracy and scalability.
  6. Develop and maintain automated AI frameworks and pipelines.
  7. Troubleshoot and debug AI models and systems.
  8. Communicate effectively with product managers and other stakeholders.
  9. Stay up to date with emerging trends and technologies in AI.
Where is this job?
This job is located at Palo Alto, CA, USA
Job Qualifications
  • Strong Problem Solving Skills

  • Ai/Ml Expertise

  • Knowledge Of Ai Algorithms

  • Software Engineering Experience

  • Experience In Machine Learning And Deep Learning

  • Experience In Deploying Ai/Ml Solutions In Production

  • Knowledge Of Big Data Technologies

  • Familiarity With Cloud Computing Environments

  • Experience In Leading Ai/Ml Projects

Required Skills
  • Programming

  • Python

  • Algorithms

  • Big Data

  • Machine Learning

  • Deep Learning

  • Tensorflow

  • Keras

  • Data science

  • NLP

  • Statistics

  • reinforcement learning

  • Mathematical modeling

  • Neural Networks

  • AI

Soft Skills
  • Communication

  • Leadership

  • Problem Solving

  • Time management

  • Interpersonal Skills

  • creativity

  • Organizational skills

  • Teamwork

  • collaboration

  • Adaptability

Compensation

According to JobzMall, the average salary range for a Senior Artificial Intelligence Engineer in Palo Alto, CA, USA is between $145,000 and $175,000 per year. This amount is based on the salaries of experienced professionals with expertise in Artificial Intelligence and related fields. It is important to note that the salary range may vary depending on a variety of factors such as experience, education, and skills. Additionally, salaries may also vary depending on the specific company and the job role.

Additional Information
American Express is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Required LanguagesEnglish
Job PostedOctober 26th, 2023
Apply BeforeSeptember 18th, 2025
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About American Express

American Express Co. operates as a global services company, which engages in the provision of credit card, financial, and global travel services. It operates through the following business segments: U.S. Card Services, International Card Services, Global Commercial Services, Global Network & Merchant Services, and Corporate.

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