

Share
This job is responsible for providing specialized and personalized service offering advice and guidance to financial center clients through the full spectrum of borrowing and banking offerings at each stage of the client's life plan. Key responsibilities include acquiring new and deepening existing client relationships by conducting client meetings and presenting customized solutions to clients to help them achieve their financial goals. Job expectations include effectively balancing sales performance, operational risk, and client relationship care by leveraging specialized expertise.
Responsibilities:
Required Qualifications:
Desired Qualifications:
Skills:
High School Diploma / GED / Secondary School or equivalent
1st shift (United States of America)These jobs might be a good fit

Share
We are operating in an increasingly connected world that is changing how to manage risk. With fast-paced technology advancements, new innovations within emerging technologies, and an ever-challenging regulatory environment, it is business critical for our organization to identify not only the risks but the opportunities these present to us. As a Data Protection & Privacy Senior Associate, you will support processes within the Ethics, Compliance, and Risk Management (ECRM). Our brand depends on it. It’s all part of our long-term commitment to building a better working world and in return, you can expect plenty of opportunities to take on new responsibilities and develop your career.
Your key responsibilities
As part of the EY Americas Data Protection (Confidentiality, Data Privacy) function, you will maintain visibility over and perform data protection due diligence activities around business processes and processing activities (i.e., Activity Privacy Impact Assessments (APIAs)). You will help to interpret data protection and privacy laws and policies, determine required actions to standard and non-standard situations, and make recommendations based on firm guidance, professional standards, subject matter expertise, and acquired experience.
Skills and attributes for success
To qualify for the role, you must have
Ideally, you’ll have
What we look for
We’re interested in people that will be able to right-size risk and recommend creative solutions to complex problems, as well as make significant contributions to complex Risk Management projects.
We offer a competitive compensation package where you’ll be rewarded based on your performance and recognized for the value you bring to our business. In addition, our Total Rewards package includes medical and dental coverage, both pension and 401(k) plans, a minimum of 18 days of paid time off with additional time based on your level and years of service plus 12 observed holidays, and a range of programs and benefits designed to support your physical, financial and social well-being.
What we offer you
At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn .
These jobs might be a good fit

Share
These jobs might be a good fit

Share
Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure AI/ML and GenAI solutions tailored to meet the specific needs of each customer. You’ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.Key job responsibilities
Key job responsibilities
As an experienced technology professional, you will be responsible for:2. Designing and implementing machine learning pipelines that support high-performance, reliable, scalable, and secure ML workloads.
3. Designing scalable ML solutions and operations (MLOps) using AWS services and leveraging GenAI solutions when applicable.5. Serving as a trusted advisor to customers on AI/ML and GenAI solutions and cloud architectures
6. Sharing knowledge and best practices within the organization through mentoring, training, publication, and creating reusable artifacts.
7. Ensuring solutions meet industry standards and supporting customers in advancing their AI/ML, GenAI, and cloud adoption strategies.About the team
About AWS:
Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Mentorship & Career Growth - We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
- 5+ years cloud architecture and implementation
- Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience
- 8+ years leading technical teams and hands-on experience focused on data, software, or ML engineering, with strong understanding of distributed computing. (e.g., data pipelines, training and inference, ML infrastructure design)
- 5+ years developing predictive modeling, natural language processing, and deep learning, with a proven track record of building and deploying ML models on cloud. (e.g., Amazon SageMaker or similar)
- 5+ years developing with SQL, Python, and at least one additional programming language (e.g., Java, Scala, JavaScript, TypeScript). Proficient with leading ML libraries and frameworks (e.g., TensorFlow, PyTorch)
These jobs might be a good fit

Share
Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You’ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.
Key job responsibilities
As an experienced technology professional, you will be responsible for:- Providing technical guidance and implementation support throughout project delivery, with a focus on using AWS AI/ML services
- Collaborating with customer stakeholders to gather requirements and propose effective model training, building, and deployment strategies- Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts
About the team
About AWS:
Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career Growth - We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
- 3+ years of cloud architecture and solution implementation experience
- Knowledge of the primary aws services (ec2, elb, rds, route53 & s3)
- Experience implementing AWS services in a variety of distributed computing environments
- 5+ years of IT implementation experience
- degree in advanced technology, or AWS Professional level certification
- Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies
- Knowledge of security and compliance standards including HIPAA and GDPR
- Experience and technical expertise (design and implementation) in cloud computing technologies
- Experience leading the design, development and deployment of business software at scale or recent hands-on technology infrastructure, network, compute, storage, and virtualization experience
- Experience in performance optimization and cost management for cloud environments
- Experience presenting technical solutions to diverse audiences in pre-sales environments
These jobs might be a good fit

Share
We're a 2 pizza team moving fast to build a new agentic product from the ground up. If you are scrappy and bias for action is your favorite LP, you will fit right in. You will lead a team of applied scientists and software developers, driving the technical vision while fostering a culture of innovation and scientific excellence. You must be excellent at balancing business needs and strategic thinking with hands-on technical depth.We're prioritizing the following experience:
- Experience implementing reinforcement learning for autonomous agent behavior- Knowledge of personalization systems, recommendation engines, or dynamic content generation
- Production operational experienceAbout the team
Why AWSDiverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Work/Life BalanceInclusive Team CultureMentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
- PhD in Computer Science, Machine Learning, or related field
- 7+ years in applied research, with 3+ years of people management experience
- Track record of leading successful research projects and delivering business impact
- Strong publication record in top-tier conferences/journals (CVPR, NeurIPS, ICML, etc.)
- Experience managing technical teams in ML or AI
- Demonstrated ability to translate complex technical concepts to various audiences
- Demonstrated experience in AI agent architecture design, including decision-making frameworks and behavioral modeling
- Knowledge of multi-modal AI systems
- Experience in professional software development
These jobs might be a good fit

Share
These jobs might be a good fit

Share
This job is responsible for providing specialized and personalized service offering advice and guidance to financial center clients through the full spectrum of borrowing and banking offerings at each stage of the client's life plan. Key responsibilities include acquiring new and deepening existing client relationships by conducting client meetings and presenting customized solutions to clients to help them achieve their financial goals. Job expectations include effectively balancing sales performance, operational risk, and client relationship care by leveraging specialized expertise.
Responsibilities:
Required Qualifications:
Desired Qualifications:
Skills:
High School Diploma / GED / Secondary School or equivalent
1st shift (United States of America)These jobs might be a good fit