Jobs at NY Creates

This senior management role leads a team of Machine Learning Engineers within an Agile unit focused on productionizing ML applications at scale. The position involves overseeing the architectural design, development, and deployment of machine learning models while ensuring high availability and performance. Key responsibilities include guiding cross-functional collaboration with product and data science teams, optimizing cloud-based data pipelines, and enforcing best practices in responsible AI and model governance. The role appeals to leaders seeking to drive innovation in a collaborative environment where they can apply emerging technologies to solve complex business problems. The position requires a blend of technical expertise in distributed computing and people management to mentor engineers and deliver state-of-the-art solutions.

This senior leadership role within Capital One's Enterprise Platforms Technology team focuses on designing, building, and scaling machine learning systems for enterprise-wide use. The position involves collaborating with product and data science teams to architect ML solutions, develop optimized data pipelines, and ensure high availability and performance of models in production. Key responsibilities include leading cross-functional Agile teams, implementing continuous integration and deployment practices, and maintaining responsible AI governance. The role appeals to candidates seeking to apply cutting-edge innovations in a collaborative environment with opportunities for professional growth and mentorship. The position requires a blend of technical expertise in Python, Scala, or Java and people management skills to drive impactful technology solutions.

This Financial Analyst III role focuses on the Perishable Grocery category and pricing within Amazon's finance team. The position involves owning the complete P&L for a specific grocery category and serving as a strategic partner to vendor managers and category leads. Key responsibilities include developing financial frameworks to assess return on investment, designing accurate financial models to drive business decisions, and creating scalable reporting mechanisms to simplify complex data. The role appeals to analytical professionals seeking to influence critical business choices in a fast-paced retail environment while gaining exposure to the full grocery business model from procurement to customer experience. The position requires navigating a matrixed organization to collaborate across multiple teams and solve complex challenges that impact profitability and selection.

This senior business development role within AWS Applied AI Solutions focuses on driving the go-to-market strategy for Amazon Connect across the global Systems Integrator and Global Systems Integrator ecosystem. The position involves building strategic relationships with senior partner stakeholders, developing comprehensive sales plans to accelerate enterprise customer adoption, and leading solution discussions to expand partner delivery capabilities. Key responsibilities include managing the sales pipeline, collaborating with cross-functional teams on marketing and architecture, and overseeing successful customer implementations. The role offers the appeal of working with cutting-edge AI-powered cloud technology in an inclusive culture that values mentorship and career growth. While the position requires moderate travel to partner sites and customer engagements, it provides the opportunity to influence leadership decisions and drive significant revenue growth within a leading global cloud platform.

This senior role serves as a Subject Matter Expert for Amazon Neptune graph architectures within AWS's Worldwide Specialist Solutions Organization. The position focuses on designing scalable, flexible, and resilient cloud-based solutions for large-scale enterprise customers while driving the adoption of database and AI technologies. Key responsibilities include partnering with sales and business development teams to define go-to-market strategies, creating technical enablement materials like white papers and reference architectures, and representing customer feedback to influence product roadmaps. The role appeals to candidates seeking a dynamic environment where they can act as a thought leader at major industry events, mentor peers, and work with cutting-edge graph database technologies. The position offers a collaborative culture that values innovation, continuous learning, and work-life balance, with opportunities to influence global business growth.

The Senior Engagement Manager role within the AWS Executive Visioning team focuses on partnering with strategic customers to envision future possibilities and drive innovation. Key responsibilities include planning and executing high-level executive engagements using the working backwards methodology, developing customer briefings through market research, and aligning internal stakeholders with customer strategies. The position appeals to professionals seeking to advance their business skills in a fast-paced, entrepreneurial environment while collaborating with senior leaders. The role offers opportunities for mentorship, career growth, and a culture that values diverse experiences and work-life balance, with a hybrid work arrangement depending on location.

The Senior Manager, Customer Success role leads a global team within AWS Specialists & Partners, focusing on the convergence of observability and security for enterprise clients. Key responsibilities include defining strategic post-sale journeys, managing CxO-level engagements, and developing cross-domain playbooks that integrate AI-driven operations with threat detection. The position requires recruiting and mentoring specialists while establishing frameworks for customer adoption, health scoring, and product feedback. This opportunity appeals to leaders passionate about secure innovation, offering a chance to shape the future of cloud security and operational excellence in a culture that values technical depth, continuous learning, and diverse experiences.

This Financial Analyst III role focuses on the perishable grocery category and pricing within Amazon's finance team. The position involves owning the complete P&L for a specific category, partnering with vendor managers to develop financial frameworks, and designing models that drive strategic business decisions. Key responsibilities include analyzing profitability trends, creating scalable reporting mechanisms, and collaborating across a matrixed organization to influence selection and pricing strategies. The role is appealing for its opportunity to serve as a strategic business partner in a fast-paced retail environment, offering exposure to the entire grocery business model from procurement to customer experience. It is based in the United States with potential locations including New York, Austin, Arlington, and Seattle.

This senior Delivery and Solution Architect role at Capgemini focuses on leading end-to-end SAP transformation programs within the Utilities and Oil & Gas sectors. The position combines deep technical expertise in SAP S/4HANA and IS-U with industry-specific knowledge to design scalable architectures for complex, regulated environments. Key responsibilities include defining solution blueprints and roadmaps, ensuring seamless integration across SAP platforms, and leading high-value proposal responses for multi-million dollar engagements. The role appeals to professionals seeking to shape their career within a collaborative global community that values sustainability and inclusion. It offers the opportunity to act as a trusted advisor to executive stakeholders while driving strategic digital transitions in asset-intensive industries.

This Financial Analyst III role focuses on the Perishable Grocery category and pricing within Amazon's finance team. The position involves owning the complete P&L for a specific grocery category and serving as a strategic business partner to vendor managers and category leads. Key responsibilities include developing financial frameworks to assess return on investment, designing accurate financial models to drive business decisions, and creating scalable reporting mechanisms to simplify complex data for stakeholders. The role appeals to analytical professionals seeking to influence critical business choices in a fast-paced retail environment while gaining exposure to the full grocery business model from procurement to customer experience. The position requires navigating a matrixed organization to collaborate across multiple teams and solve complex challenges that impact profitability and selection.

The Claims Service Specialist role at GEICO involves supporting policyholders by managing auto insurance claims with empathy and care. Key responsibilities include handling incoming calls, collecting accident details, investigating claim facts, and guiding customers through coverage options to resolve their issues. The position is based in Melville, New York, requiring in-office attendance with a hybrid arrangement allowing 20% off-site work after training. This opportunity appeals to candidates seeking professional growth through free licensing and continuing education, a supportive culture focused on shared success, and comprehensive benefits including immediate health coverage and a 401(k) match.

The Claims Service Specialist role at GEICO involves supporting policyholders by managing auto insurance claims with empathy and care. Key responsibilities include handling incoming calls, collecting accident details, investigating claim information, and guiding customers through the process of returning to the road safely. This position offers a collaborative environment focused on professional growth, including free licensing and continuing education opportunities. The role is based in Melville, New York, with a hybrid work arrangement that begins with in-office training followed by a schedule of 80% on-site and 20% off-site, plus additional flexibility options.

The Claims Service Specialist role at GEICO involves supporting policyholders by managing auto insurance claims with empathy and care. Key responsibilities include handling incoming calls, collecting accident details, investigating claim specifics, and guiding customers through coverage options to resolve their concerns. This position offers a collaborative environment focused on professional growth, including free licensing education and career development programs. The role is primarily based in Melville, New York, with a hybrid arrangement allowing for partial off-site work after initial training. The position appeals to those seeking a supportive culture that values work-life balance and meaningful customer impact.

The Claims Service Specialist role at GEICO involves supporting policyholders by managing auto insurance claims with empathy and care. Key responsibilities include handling incoming calls, collecting accident details, investigating claim specifics, and guiding customers through the process of returning to the road. The position is based in Melville, New York, with a hybrid arrangement allowing for significant on-site work and opportunities for off-site flexibility. This opportunity is appealing due to the company's strong focus on professional growth, including free licensing and continuing education, alongside a supportive culture that values employee well-being and offers comprehensive benefits from the first day.

The Manager, Data Science - AI Foundations role leads the AI Foundations Specialist Models team within Capital One's mobile app division. The position focuses on designing and deploying scalable generative AI solutions, including Large Language Models and Natural Language Processing systems, to enhance customer interactions. Key responsibilities involve partnering with cross-functional teams to operationalize machine learning models for millions of users, leveraging technologies like PyTorch and AWS, and translating complex technical concepts into business value. The role is appealing for its opportunity to drive innovation at scale within a data-centric culture, offering a chance to shape next-generation financial experiences while fostering talent development and challenging conventional thinking.

This full-time Financial Advisor role within TD Wealth is based in Newtown, Pennsylvania, and features a three-year program designed to develop expertise in financial planning and investment management. The position serves as the primary point of contact for clients, responsible for reviewing financial goals, conducting needs analyses, and recommending investment solutions to support asset growth and protection. Key duties include managing client onboarding, conducting annual reviews, and collaborating with retail banking partners to deepen client relationships. The role appeals to candidates seeking a structured career path with significant growth opportunities, mentorship, and a focus on delivering a human-centric banking experience. While the position requires daily travel within the assigned market to meet clients and partners, it offers a supportive environment dedicated to professional development and community engagement.

This senior lead machine learning engineering role places the candidate within an Agile team at Capital One, focusing on the productionization of scalable machine learning systems. Key responsibilities include designing and building ML models to solve business problems, constructing optimized data pipelines, and managing the full lifecycle of model deployment, monitoring, and retraining in cloud environments. The position requires leading teams while ensuring high availability, performance, and adherence to responsible AI practices. The role is appealing for its opportunity to work with emerging technologies, drive innovation in big data applications, and foster a collaborative culture that values continuous learning. The position is based in McLean, Virginia or New York, New York.

This Senior Manager, Machine Learning Engineering role leads an Agile team within Capital One focused on productionizing machine learning applications at scale. The position involves designing ML architectures, developing and reviewing model code, and building optimized data pipelines to solve complex business problems. Key responsibilities include managing model retraining and monitoring, ensuring high availability and performance, and enforcing responsible AI governance. The role appeals to candidates seeking to apply the latest innovations in distributed computing and cloud platforms while leading cross-functional teams. It offers a collaborative environment where professionals can continuously learn and drive technical strategy for state-of-the-art big data solutions.

This full-time Lead Machine Learning Engineer role places the candidate within an Agile team at Capital One focused on productionizing machine learning applications at scale. Key responsibilities include designing and building ML models to solve business problems, developing optimized data pipelines, and ensuring high availability and performance of deployed systems using cloud architectures. The position requires collaboration with product and data science teams to manage model retraining, monitoring, and governance while adhering to responsible AI practices. The role is appealing for its opportunity to continuously apply the latest innovations in machine learning engineering and work with diverse technologies like Python, Golang, and major cloud platforms. The position supports a collaborative culture centered on technical growth and delivering state-of-the-art big data solutions.

This managerial role within the AI Foundations team at Capital One focuses on developing scalable machine learning and natural language processing solutions for the company's mobile applications. The position involves leading cross-functional teams to design, train, and operationalize large language models that power features like the digital assistant Eno and personalized customer experiences. Key responsibilities include leveraging advanced technologies such as PyTorch and AWS to build resilient production systems serving over 80 million users, while translating complex technical concepts into clear business strategies. The role is appealing for its opportunity to drive innovation in generative AI, work with cutting-edge tools, and lead talent development within a data-centric culture. The position is based in McLean, New York, or San Jose.

The Senior Manager, Data Science - AI Foundations role leads the AI Foundations Specialist Models team within Capital One's mobile app division. The position focuses on designing and deploying scalable machine learning solutions, specifically leveraging Large Language Models and Natural Language Processing to enhance customer interactions. Key responsibilities include partnering with cross-functional teams to build AI-powered features, fine-tuning models for production environments serving over 80 million users, and translating complex technical concepts into business value. This opportunity appeals to candidates seeking to drive innovation in generative AI within a data-centric culture that values customer-first decision-making and professional growth. The role operates on-site in McLean, New York, or San Jose.

This senior business analyst role within the Business Cards & Payments team focuses on solving strategic challenges for small business customers through data-driven insights. Key responsibilities include modeling and analyzing lending products, supporting direct-to-consumer marketing strategies, and developing credit risk models to improve performance. The position requires collaboration with cross-functional partners in IT, sales, and operations to drive quality and profitability. The role appeals to candidates seeking a dynamic, entrepreneurial environment that values curiosity, innovation, and continuous learning. It offers a collaborative culture where employees own their work end-to-end and are encouraged to take on new responsibilities in a fast-paced setting.