Machine Learning Jobs in Jersey City, NJ

Lead enterprise data strategy and governance for UnitedHealth Group, enabling Data Mesh, responsible AI, master data management, and scalable data architecture. Drive data-driven value, regulatory compliance, cross-functional collaboration, external advocacy, and lead a global team to modernize data platforms and ensure secure, governed access.

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.

The Director of Product Marketing will define and drive the go-to-market strategy for Monolith, highlighting its AI capabilities in engineering. Responsibilities include positioning, messaging, account-based marketing, sales enablement, and customer advocacy, targeting R&D leaders in various industries.

As a Senior Data Scientist in Sales Operations, you'll architect data foundations, build analytics models, and translate data into actionable insights for strategic decision-making across the organization.

As Product Marketing Manager, you will define the value proposition and GTM strategy for CoreWeave's compute services, collaborating with stakeholders to drive user adoption and measuring impact through metrics.

Design, build, and deploy scalable AI/ML and generative AI solutions for healthcare. Develop and fine-tune LLMs, RAG pipelines, and NLP models; create production ML pipelines, process source data, and collaborate cross-functionally to apply AI to business problems.

As a Solutions Architect at CoreWeave, you will lead technical engagements with customers, build tailored solutions, and collaborate with engineering to enhance products in AI and cloud infrastructure.

Lead Data Scientists will solve high-impact business problems using advanced machine learning and analytics, collaborating with teams and clients to drive value from data.

The Senior AI Consultant will collaborate with leaders to identify automation opportunities, design proof of concepts, implement AI solutions, and ensure value creation through effective change management.

As VP of Fraud Detection, lead strategies using AI and machine learning for timely fraud event detection, collaborating with multiple teams to enhance customer experience.

The Sr. Information Security Officer will assess cybersecurity risks related to Generative AI, advise business leaders, and ensure effective risk management while maintaining a strong security posture.

Develop and implement AI/ML strategies, build machine learning models, collaborate with teams, and drive adoption of AI solutions in healthcare.

As a Prompt Engineer / LLM Specialist, you will design and optimize prompts, implement AI tools, and ensure compliance with financial regulations while fine-tuning LLMs for the financial services sector.

The IT Audit Senior Manager will lead complex technology audits, analyze data, assess risks and controls, mentor staff, and draft audit reports.

Lead machine learning projects in GenAI, oversee code from research to production, and deliver impactful business solutions while collaborating with stakeholders.

The Director of Business Relations for the AI Hub connects AI successes with business challenges, fosters innovation, and aligns technology strategy across Tokio Marine Group Companies.

The Senior Technical Leader will oversee the development of a Data Ingestion Framework, manage teams in Agile delivery, and ensure alignment with AIG's technical strategies.

Lead AI integration and automation for security operations, enhance incident response strategies, and mentor junior staff in a global setting.

Lead the design and development of AI solutions at Citi Innovation Labs, managing projects and stakeholder engagement while integrating AI/ML technologies into enterprise software.

The Legal Product Consultant will integrate AI legal tools into firms, support client onboarding, and provide feedback for product innovation.

Lead a team of data quality analysts to address data quality issues, implement data governance, and ensure compliance with standards and audits.

Lead the design and delivery of large-scale machine learning systems, mentoring engineers while driving technical strategy and collaboration across teams in AEC solutions.

The Principal AI/Machine Learning Engineer will lead the adoption of AI/ML in manufacturing by defining use cases, driving implementation, and ensuring organizational readiness.

The role involves providing analysis and insights to management, supporting sales operations, and improving reporting tools and processes.

The Director of Data Sciences leads a team in strategic initiatives, drives machine learning and AI solutions, and manages resources to enhance data-driven decision making across the business unit.