Machine Learning Jobs in Jersey City, NJ

The Lead Applied AI ML Engineer will manage and mentor a team, lead complex ML projects, and drive innovative AI solutions with a focus on performance and operational excellence.

As a Software Engineer III, you'll design and deliver technology solutions, develop Python applications for trading data, and enhance electronic trading platforms.

Lead the AI/ML engineering team at Wells Fargo, focusing on developing and deploying Generative AI solutions and leading project requirements with diverse stakeholders.

Lead the design and engineering of multimodal human-AI systems, ensuring optimization of decision-making and interactions, while collaborating with teams and running user experiments.

Lead Software Engineer responsibilities include designing, developing, and delivering secure technology solutions, enhancing operational stability, and promoting software engineering best practices.

Lead the control environment for Data Strategic Initiatives, managing risks, controls and compliance, while guiding a high-performing team.

Lead Software Engineer overseeing software solutions, systems design, application development, and improving operational stability using advanced AI and ML technologies.

The Senior Product Associate manages product development and launches, collaborates with teams, and ensures customer value through innovative offerings in Digital Distribution.

The Senior Manager of Site Reliability Engineering will lead the liquidity risk team, focusing on site reliability, team collaboration, and continuous improvement in technology operations.

As Quant Analytics VP, manage data analytics projects, collaborate with various teams, and drive insights to improve customer experience. Lead a team in strategic analysis and solution development, enhance analytics processes, and communicate findings to executives.

As a Principal Architect, you will drive architecture development using cloud technologies, advise on technology selection, develop scalable frameworks, and lead cross-functional teams.

The Executive Director in Global Payments Advisory will lead client interactions, advise on treasury operations, and create solutions for improving payments. Responsibilities include developing industry insights, enhancing visibility, and ensuring compliance.

The Vice President will provide expertise in Treasury and Finance, advising clients, conducting market analysis, and developing payment solutions. Key responsibilities include leading client engagements, creating thought leadership content, and enhancing sales strategies through treasury best practices.

Lead the development of high-quality architectural solutions in software applications, contribute to technical troubleshooting, and promote innovative technologies within a diverse team.

The Machine Learning Scientist will develop and implement machine learning models, collaborate on projects, and explore innovative techniques to support business growth in Cybersecurity and Technology Infrastructure.

As a Senior Lead Software Engineer, enhance and maintain a continuous integration environment for electronic trading applications, drive automation, and collaborate with global teams to ensure quality and stability.

Lead and manage AI-driven projects at JPMorgan Chase, ensuring alignment with strategic goals while handling budgets, resources, and stakeholder management.

The Principal Architect will lead the development of cloud-based technologies for global digital commerce, focusing on business problem-solving and technological innovation, while mentoring teams and driving technical leadership.

The Lead Architect will design and implement high-quality architecture solutions, engage stakeholders, evaluate technologies, and lead technical efforts in financial services technology.

As a Model Risk Program Associate, you'll validate models, assess risks, communicate findings, and uphold standards in model governance.

The Lead Data Architect will develop data architecture solutions, engage with technical teams, and ensure high-quality data models using Erwin. Responsibilities include collaborating with stakeholders and optimizing data structures for analytics and AI/ML.

The role involves leading the Customer Success team, developing success strategies, managing customer onboarding, and driving product adoption and retention.

The Data Owner Lead manages data quality, integrity, and governance, driving data solutions aligned with business objectives and fostering a data-driven culture.

The Product Manager leads product innovation, manages strategy and life cycle, enhances customer value, and collaborates with cross-functional teams to ensure product success.

Develop and enhance machine learning models, mentor juniors, maintain standards, and build client relationships while navigating complex situations.