Machine Learning Jobs in Jersey City, NJ

Lead the development of innovative AI solutions, guide teams through complex challenges, and collaborate with diverse stakeholders to enhance operational effectiveness and achieve strategic objectives.

Manage AI engineering teams and client relationships, drive project deliverables, mentor staff, and uphold quality standards while leveraging advanced technologies.

The Director of Developer Relations leads the strategy for engaging developers around CoreWeave's AI SaaS offerings, creating content, fostering community, and improving the onboarding experience.

The Senior Product Marketing Manager will position CoreWeave's SUNK offering, develop messaging, and collaborate with engineering and sales teams to enhance product adoption and market understanding for AI training workloads.

Senior CAO Elite Analyst II performs advanced threat hunting, dark web and intelligence research, delivers customer briefings, responds to ad-hoc intel requests, validates security controls using MITRE ATT&CK, and partners across teams to protect and advise enterprise customers.

Lead finance transformation engagements using Oracle Cloud ERP and EPM. Design and implement Oracle Financials and Hyperion solutions, integrate RPA/ML/analytics, ensure compliance, manage stakeholder relationships, coach teams, and drive strategic outcomes on large, cross-border projects.

Lead Oracle Cloud finance transformation engagements, set strategic direction, oversee complex implementations, mentor teams, build client relationships, and drive process and technology improvements across ERP and EPM solutions.

This role involves applying advanced data science and machine learning methods to healthcare data, leading teams, managing client relations, and developing analytics products for payers, while mentoring junior staff.

The AI Engineer Manager leads the Data and Analytics Engineering team in developing AI solutions, manages client accounts, analyzes data, and fosters team leadership and relationships with clients.

As an AI Engineering Manager at PwC, you will lead the design and operation of AI-powered platforms, mentor engineers, and ensure project delivery excellence while focusing on security and scalability.

The VP, Data Science will lead analytics initiatives in pricing modeling and risk assessment for commercial insurance, mentoring teams and ensuring regulatory compliance.

The AVP, Digital Portfolio Management oversees P&L for small business products, driving underwriting profitability and digital transformation through analytics, cross-functional collaboration, and strategic initiatives.

The Program Manager will coordinate multiple projects, provide strategic guidance, monitor program progress, and manage large customer engagements in the Pharma domain.

Individual contributor applied GenAI engineer/data scientist leading ML projects end-to-end. Builds and productionizes LLM and ML solutions, partners with business stakeholders, identifies AI/ML use cases, manages multiple projects, and communicates results with clear visualizations to deliver measurable business impact.

The role involves designing and implementing AI and machine learning solutions, transforming data into insights, and supporting client engagements. Responsibilities include model development, data analysis, and enhancing model performance using established technologies.

The AI Sales Specialist will develop sales strategies, engage clients, manage relationships, negotiate contracts, and provide insights on AI technologies to drive business value for enterprise clients.

Lead and manage a data science team building and maintaining AML/CTF models and analytics (including LLMs) to detect financial crime. Own model lifecycle, stakeholder engagement, production deployment, performance monitoring, and delivery of user-facing analytics and tools to drive risk detection and operational efficiency.

Lead end-to-end delivery and adoption of Generative and Agentic AI solutions for TD Bank US. Partner with business and control functions to prioritize AI opportunities, ensure governance and compliance, manage AI solution portfolio, drive adoption and value realization, and build high-performing teams focused on responsible AI and measurable business outcomes.

Senior management role leading multiple application development teams to design, build, and operate scalable, cloud-native, and AI-enabled software solutions. Drive architecture, coding standards, DevOps/CI-CD, microservices, data platforms, and adoption of Agentic AI and ML. Manage budgets, hiring, performance, stakeholder relationships, risk and compliance, and mentor engineering leaders across distributed teams to deliver resilient enterprise applications.

Lead development and delivery of AI/ML and advanced analytics for client intelligence and revenue management. Define AI strategy, build predictive models and generative/agentic solutions, establish MLOps and model governance, drive architecture and data engineering, partner with front-office stakeholders, and manage a team of engineers and data scientists to deliver measurable revenue and productivity outcomes.

The role involves designing and implementing advanced analytics solutions for healthcare payers, analyzing complex problems, mentoring juniors, and building client relationships.

The Sales Leader drives revenue growth by managing strategic client relationships, leading presales activities, and winning multi-million-dollar Quality Engineering deals.

Lead AI engineering efforts in banking, focusing on AI solutions, team management, data strategy, governance, and driving AI integration in workflows.

Lead the Client Services Program Manager to deploy business solutions in financial services, managing multiple client programs and ensuring high-quality service delivery.

Design, build, and maintain AI-driven workflows, data pipelines, and full-stack web applications to automate course creation and multimedia content processes. Apply ML, NLP, and generative AI to improve content quality, analytics, and operational efficiency; build APIs, CI/CD pipelines, dashboards, and integrations while collaborating with SMEs and cross-functional teams.