730 Cloud Data Engineer jobs in New York,NY

Deep expertise in transformer-based sequence modeling and its application to behavioral or interaction data at consumer scale — including architecture design, training methodology, fine-tuning, and embedding quality evaluation
Proven track record developing and deploying household- or user-level embedding models applied to real-world use cases in media, marketing, commerce, and/or customer intelligence — not just research environments. Demonstrated understanding of the unique characteristics of behavioral sequence data: sparsity, temporal dynamics, multi-entity structure, and the signal differences between behavioral intent and explicit interaction
Strong command of the full data science lifecycle in production settings — from exploratory data analysis and feature engineering through model training, validation, deployment, monitoring, and iteration — at large dataset scale (billions, even trillions of records)
Hands-on proficiency with Python, PyTorch or TensorFlow, and distributed ML training frameworks; experience running ML workloads on cloud platforms (AWS SageMaker, Snowflake Cortex, Databricks, or equivalent)
Experience designing and operationalizing feature stores and predictive modeling pipelines that serve downstream intelligence products, audiences, or decision systems in production environments
Ability to communicate complex AI/ML concepts clearly to non-technical executive audiences, product stakeholders, and external partners; comfort operating as an external-facing technical spokesperson for the platform's modeling capabilities and intelligence differentiation
Track record of leading and growing high-performing data science teams; experience recruiting and developing senior ML talent in competitive markets
Genuine intellectual curiosity about the application of AI to behavioral science, consumer intelligence, and agentic systems; awareness of the evolving landscape of foundation models, retrieval-augmented generation, and multi-agent AI architectures
Bachelor's Degree in Computer Science, Statistics, Mathematics, or a related quantitative field
Experience leading applied ML or data science teams building consumer-facing or enterprise intelligence products — 7 years
Hands-on experience designing and training transformer or deep learning models on sequential behavioral data at scale — 5 years
In-office position preferably based in New York City
Travel as required for partner engagements, executive meetings, and industry events

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Capital One

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Senior Associate, SAP S4 Public Cloud Professional Services Automation (PSA)

KPMG

New York, NY 10025

OnsiteHealth InsuranceRetirement Benefit

Minimum three years of recent external management consulting experience with a focus on hybrid business model transformation, including at least one full lifecycle SAP S/4HANA Public Cloud implementation in Solution Order Management and/or Professional Services Automation, with demonstrated ability to support stakeholder engagement and contribute to business strategy and outcomes
Bachelor's degree in business administration, Information Systems, Sales, Finance, or related field from an accredited college/university
Experience supporting at least one full lifecycle SAP implementation focused on Solution Order Management, Subscription Billing, Service Contracts, and Professional Services Automation, with ability to contribute to workshops, assist in defining business-centric solutions, and support integration with related modules such as Sales, Finance, and Service Delivery
Strong delivery execution skills in finance transformation programs, with experience supporting phases from planning and design through build, testing, cutover, and hypercare, and assisting in issue resolution and stakeholder coordination
Demonstrated ability to contribute to hybrid business model transformation initiatives by supporting process innovation, collaborating on high-quality deliverables, and applying SAP digital tools for Solution Order, Subscription Billing, and PSA
Travel may be up to 50-80%
Must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)

SmartExplore AI is experimental.

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