What are the responsibilities and job description for the Senior AI Engineer - CETS Data Engineering position at hackajob?
hackajob is collaborating with American Express to connect them with exceptional tech professionals for this role.
At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career.
Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.
How will you make an impact in this role?
As an Engineer supporting Colleague Experience Technology Services, you will develop reporting and analytics solutions leveraging best-in-class vendor products and services to support the analytical needs for Colleague Experience Group (aka H.R.) stakeholders.
If you love building analytical solutions in an enterprise environment, engineering interfaces between systems, information security, and leveraging the latest technologies, we’ll support you with an open environment and learning culture to grow your career.
You will also have a sharp eye when it comes to Information Security and Platform Health to ensure all our products and services are secure and compliant within the ever-changing security landscape.
As a part of our technical team, you will work to bring ground-breaking and diverse ideas to life that power the digital systems, services, products, and platforms that our colleagues depend on.
Mentors junior AI Engineers and cross-functional team of colleagues, fostering a culture of excellence and innovation
Integrates AI models into production systems in collaboration with cross-functional teams, ensuring effective integration into existing production systems
Maintains strict adherence to model governance, security, and compliance standards
Provides guidance and support to junior engineers, fostering professional growth and development within the team
Designs and implements AI/machine learning frameworks for data processing, focusing on prompt engineering and generative AI technologies
Collaborates with engineers to deliver scalable AI solutions by integrating models that meet both technical and business requirements
Translates business requirements into AI-driven technical solutions, ensuring that business needs are converted into actionable models and algorithms
Develops reusable Big Data pipelines and AI-based systems, ensuring efficiency and consistency in data processing and model deployment
Experiments with and deploys new natural language processing models to classify and analyze business-related text data, conducting research to improve text classification and analysis
Creates end-to-end machine learning operations pipelines for scalable model deployment, facilitating seamless deployment, monitoring, and maintenance of AI models
Collaborates and co-creates effectively with teams in product and the business to align technology initiatives with business objectives
`Minimum Qualifications
Bachelor's degree in Computer Science, Machine Learning, Data Science, and/or comparable experience; advanced degree preferred
Knowledge of Python and data processing technologies such as Big Data (Hadoop, Spark)
Knowledge of natural language processing techniques like fuzzy wuzzy and models such as BERT, Transformer models, and their real-world applications
3-5 years experience in software development with a focus on machine learning, generative AI, Big Data, and prompt engineering
Experience in working with large language models (LLMs), especially GPT-3.5/4 or similar AI models
Experience in languages such as Python, R, Java, or C
Experience in building and deploying AI models and pipelines using machine learning operations tools including Classical ML, Generative AI, Prompt Engineering, LangChain and NLU/NLP
Experience in machine learning algorithms and experience applying them to real-world problems
Experience in continuous integration/continuous deployment pipelines and containerized deployments
Experience in building and maintaining data pipelines and extract, transform, and load processes
Preferred Qualifications
Experience taking models through AI/ML governance, in a highly regulated industry, a plus
Salary Range: $123,000.00 to $215,250.00 annually bonus benefits
The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we’ll consider your location, experience, and other job-related factors.
Benefits
We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:
Competitive base salaries
Bonus incentives
6% Company Match on retirement savings plan
Free financial coaching and financial well-being support
Comprehensive medical, dental, vision, life insurance, and disability benefits
Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
20 weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy
Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
Free and confidential counseling support through our Healthy Minds program
Career development and training opportunities
For a full list of Team Amex benefits, visit our Colleague Benefits Site.
American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. American Express will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable state and local laws, including, but not limited to, the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, and the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance. For positions covered by federal and/or state banking regulations, American Express will comply with such regulations as it relates to the consideration of applicants with criminal convictions.
We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually.
US Job Seekers - Click to view the “Know Your Rights” poster. If the link does not work, you may access the poster by copying and pasting the following URL in a new browser window: https://www.eeoc.gov/poster
Employment eligibility to work with American Express in the United States is required as the company will not pursue visa sponsorship for these positions.
At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career.
Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.
How will you make an impact in this role?
As an Engineer supporting Colleague Experience Technology Services, you will develop reporting and analytics solutions leveraging best-in-class vendor products and services to support the analytical needs for Colleague Experience Group (aka H.R.) stakeholders.
If you love building analytical solutions in an enterprise environment, engineering interfaces between systems, information security, and leveraging the latest technologies, we’ll support you with an open environment and learning culture to grow your career.
You will also have a sharp eye when it comes to Information Security and Platform Health to ensure all our products and services are secure and compliant within the ever-changing security landscape.
As a part of our technical team, you will work to bring ground-breaking and diverse ideas to life that power the digital systems, services, products, and platforms that our colleagues depend on.
Mentors junior AI Engineers and cross-functional team of colleagues, fostering a culture of excellence and innovation
Integrates AI models into production systems in collaboration with cross-functional teams, ensuring effective integration into existing production systems
Maintains strict adherence to model governance, security, and compliance standards
Provides guidance and support to junior engineers, fostering professional growth and development within the team
Designs and implements AI/machine learning frameworks for data processing, focusing on prompt engineering and generative AI technologies
Collaborates with engineers to deliver scalable AI solutions by integrating models that meet both technical and business requirements
Translates business requirements into AI-driven technical solutions, ensuring that business needs are converted into actionable models and algorithms
Develops reusable Big Data pipelines and AI-based systems, ensuring efficiency and consistency in data processing and model deployment
Experiments with and deploys new natural language processing models to classify and analyze business-related text data, conducting research to improve text classification and analysis
Creates end-to-end machine learning operations pipelines for scalable model deployment, facilitating seamless deployment, monitoring, and maintenance of AI models
Collaborates and co-creates effectively with teams in product and the business to align technology initiatives with business objectives
`Minimum Qualifications
Bachelor's degree in Computer Science, Machine Learning, Data Science, and/or comparable experience; advanced degree preferred
Knowledge of Python and data processing technologies such as Big Data (Hadoop, Spark)
Knowledge of natural language processing techniques like fuzzy wuzzy and models such as BERT, Transformer models, and their real-world applications
3-5 years experience in software development with a focus on machine learning, generative AI, Big Data, and prompt engineering
Experience in working with large language models (LLMs), especially GPT-3.5/4 or similar AI models
Experience in languages such as Python, R, Java, or C
Experience in building and deploying AI models and pipelines using machine learning operations tools including Classical ML, Generative AI, Prompt Engineering, LangChain and NLU/NLP
Experience in machine learning algorithms and experience applying them to real-world problems
Experience in continuous integration/continuous deployment pipelines and containerized deployments
Experience in building and maintaining data pipelines and extract, transform, and load processes
Preferred Qualifications
Experience taking models through AI/ML governance, in a highly regulated industry, a plus
Salary Range: $123,000.00 to $215,250.00 annually bonus benefits
The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we’ll consider your location, experience, and other job-related factors.
Benefits
We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:
Competitive base salaries
Bonus incentives
6% Company Match on retirement savings plan
Free financial coaching and financial well-being support
Comprehensive medical, dental, vision, life insurance, and disability benefits
Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
20 weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy
Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
Free and confidential counseling support through our Healthy Minds program
Career development and training opportunities
For a full list of Team Amex benefits, visit our Colleague Benefits Site.
American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. American Express will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable state and local laws, including, but not limited to, the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, and the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance. For positions covered by federal and/or state banking regulations, American Express will comply with such regulations as it relates to the consideration of applicants with criminal convictions.
We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually.
US Job Seekers - Click to view the “Know Your Rights” poster. If the link does not work, you may access the poster by copying and pasting the following URL in a new browser window: https://www.eeoc.gov/poster
Employment eligibility to work with American Express in the United States is required as the company will not pursue visa sponsorship for these positions.
Salary : $123,000 - $215,250