Advanced Applied AI Team - Applied AI ML Senior Associate

Aumni; Plano (TX); Presencial; USD 120.000 - 180.000; Jornada completa

Descripción de la vacante

Aumni is seeking an Applied AI Senior Associate to help advance GenAI initiatives within the Advanced Applied AI Team. You will collaborate with data scientists, engineers, and product managers to explore and apply GenAI models that address complex business challenges.

You will oversee design, research, prototypes, demonstrations, and help implement AI-driven projects, while translating business needs into data science requirements and communicating findings to stakeholders.

Formación

• Bachelor’s degree in Computer Science, Data Science, Engineering, or any STEM field, or equivalent experience; Proven experience in designing GenAI or AI/ML solutions within a large enterprise, with cross-functional project management.
• Comprehensive understanding of AI/ML concepts, technologies, methodologies, and GenAI trends.
• Proficiency in data processing techniques and building ML/GenAI applications.
• Strong problem-solving skills with systematic approaches.
• Competent stakeholder management and ability to translate requirements into data science solutions.
• Enthusiasm for acquiring new GenAI skills and staying updated on industry trends.

Responsabilidades

• Lead design and implementation of GenAI-driven AI projects addressing business challenges.
• Collaborate with data scientists, engineers, and product managers to apply GenAI models.
• Conduct research, create prototypes, and demonstrate concepts to stakeholders.
• Oversee data processing and model building to ensure quality integration.
• Develop systematic problem-solving approaches using technical and non-technical skills.
• Communicate complex AI concepts effectively to diverse audiences.
• Manage stakeholder relationships and translate business requirements into data science specs.
• Use project management to identify tasks, dependencies, and estimate timelines.

Conocimientos

GenAI experience

AI/ML concepts

Stakeholder management

Project management basics

Data processing techniques

Cross-functional collaboration

Educación

Bachelor’s degree in Computer Science, Data Science, Engineering, or STEM

Descripción del empleo

Join the team that utilizes GenAI technologies to develop impactful solutions and collaborate with data scientists, engineers, and product managers to explore and apply GenAI models.

As an Applied AI Senior Associate, within the Advanced Applied AI Team, you will play a pivotal role in utilizing GenAI technologies to develop impactful solutions and collaborate with data scientists, engineers, and product managers to explore and apply GenAI models to address complex business challenges. You will also oversee the design, conducting research, creating prototypes, demonstrating concepts, and assisting in the implementation and optimization of AI-driven projects.

Job Responsibilities:

• Lead the design and implementation of AI-driven projects, focusing on the application of Generative AI (GenAI) technologies to solve complex business challenges.

• Collaborate with data scientists, engineers, and product managers to explore and apply GenAI models, ensuring alignment with business objectives.

• Conduct research, create prototypes, and demonstrate concepts to stakeholders, showcasing the potential of AI solutions.

• Oversee the data processing and machine learning model building processes, ensuring high-quality implementation and integration.

• Develop and maintain systematic approaches to problem-solving, leveraging both technical and non-technical skills.

• Communicate complex AI concepts effectively to diverse audiences, tailoring presentations to meet the needs of different stakeholders.

• Manage stakeholder relationships, translating business and technical requirements into comprehensive data science technical requirements with clearly defined scopes.

• Utilize project management skills to identify key tasks, understand task inter-dependencies, and estimate task complexity to derive reasonable execution timelines.

Required Qualifications, Capabilities, and Skills:

• Bachelor’s degree in Computer Science, Data Science, Engineering, or any STEM field, or equivalent experience; Proven experience in designing and implementing GenAI or AI/ML solutions within a large enterprise, with a background in managing complex, cross-functional projects.

• Comprehensive understanding of AI/ML concepts, technologies, methodologies, and industry trends, with a focus on GenAI.

• Proficiency in data processing techniques, as well as building and implementing ML model or GenAI application.

• Strong problem-solving skills, with the ability to apply systematic approaches to complex challenges.

• Competent stakeholder management skills, with the ability to translate customer requirements into actionable data science solutions and ability to collaborate across various teams and departments, fostering a cooperative and innovative work environment.

• Enthusiasm for acquiring new Generative AI skills and staying informed about industry advancements and trends.

• Basic understanding of project management principles, including task identification, inter-dependency analysis, and complexity estimation to ensure timely project execution.

Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction.

The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

Collaborate with data scientists, engineers, and product managers to explore and apply GenAI models to address complex business challenges.