791 Cloud Engineer Ms Purview jobs in Yonkers,NY

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Senior Vice President, Infrastructure Engineer

BNY

New York, NY 10007

Urgently Hiring

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Manager, SAP S4 Public Cloud Asset Management (A2R) Lead

KPMG

New York, NY 10025

~ 24 min Onsite

Minimum six years of recent experience in external management consulting, including at least two full lifecycle SAP S/4HANA Public Cloud implementation with responsibility for Asset to Retire (A2R) and Asset Accounting processes
Experience supporting at least two S4 Public Cloud implementations involving fixed asset accounting, capital projects, CIP, asset capitalization, depreciation, and retirements, with the ability to contribute to fit to standard workshops and business centric solution design
Strong understanding of SAP S/4HANA Public Cloud Asset Accounting configuration, including asset classes, depreciation areas, capitalization rules, investment measures, and integration with Financial Accounting and Controlling
Proven delivery execution skills across SAP Activate phases, including design, build, testing, cutover, and hypercare, with experience supporting asset reconciliation, period end close, and audit readiness
Travel may be up to fifty to eight percent
Applicants 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)

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Head of Technology, Intelligence Ventures

Spectrum

New York, NY 10036

~ 24 min Onsite

Deep expertise across the full intelligence platform stack — including distributed data pipelines, ML platform architecture, embedding systems, feature stores, agent-to-agent API design, and LLM-powered application layers — with demonstrated ability to architect and ship all layers as a coherent, production-grade product
Demonstrated experience architecting and operating consumer data intelligence or data product platforms underpinned by complex machine learning systems and built on modern, cloud-native data infrastructure
Hands-on proficiency with Snowflake (including Cortex, Native Apps, and data sharing frameworks), cloud data platforms (AWS, Azure, or GCP), and production ML/AI systems at scale
Experience building agentic AI systems and LLM-powered product interfaces — including agent-to-agent APIs, retrieval-augmented generation architectures, and natural language UIs grounded in proprietary data — with strong product instincts around accuracy, trust, and user experience for non-technical enterprise audiences
Proven ability to translate complex technical architecture into clear executive and partner-facing communications; comfortable engaging at the C-suite level and in strategic partner negotiations with hyperscalers and technology platforms
Strong understanding of privacy-preserving data architecture, including differential privacy, de-identification techniques, zero-copy and clean room frameworks, and the regulatory landscape governing consumer behavioral data
Track record of recruiting and developing exceptional engineering talent in competitive markets; experience building high-performance teams from early-stage through scaled operations
Experience managing external development partners and outsourced engineering resources alongside an internal team in a fast-moving, build-from-scratch environment
Ability to operate in an ambiguous, early-stage environment while maintaining rigorous engineering standards and delivering against aggressive milestones
Experience building externally-consumed data or intelligence platforms — including developer-facing APIs, data marketplace integrations, or partner-accessible data products — with strong instincts around developer experience, access governance, and commercial platform design
Bachelor's Degree in Computer Science, Software Engineering, Electrical Engineering, or a related technical field
Experience leading consumer data intelligence, AI/ML platform, or data product engineering organizations — 10 years
Engineering leadership and team-building experience, including managing senior technical staff — 7 years

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Manager, SAP S4 Public Cloud P2R/EPPM Lead

KPMG

New York, NY 10025

~ 24 min OnsiteHealth InsuranceRetirement Benefit

Minimum of six years of recent external management consulting experience, including at least Two full lifecycle SAP S/4HANA Public Cloud implementation with core responsibility for Enterprise Portfolio and Project Management (EPPM)
Experience supporting at least two SAP implementations focused on Enterprise Portfolio and Project Management (EPPM) and Project to Result (P2R) capabilities
Strong delivery execution skills in SAP S/4HANA transformation programs, with experience supporting phases from planning and design through build, testing, cutover, and hypercare
Demonstrated ability to contribute to enterprise transformation initiatives by supporting process standardization, collaborating on high quality deliverables, and applying SAP S/4HANA Public Cloud digital tools for EPPM and project financial management
Bachelor's degree in business administration, Information Systems, Sales, Finance, or related field from an accredited college/university
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

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Specialist, Manufacturing Engineer

L3 Harris

Clifton, NJ 07011

~ 35 min OnsiteBilingual PreferredEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Bachelor's Degree and minimum 4 years of prior relevant experience. Graduate Degree and a minimum of 2 years of prior related experience. In lieu of a degree, minimum of 8 years of prior related experience.
Ability to obtain a US security clearance
Security clearances may only be granted to U.S. citizens

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Lead Engineer

Lockheed Martin

Uniondale, NY 11553

~ 46 min OnsiteFlexible ScheduleEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Bachelor's degree from an accredited college in a related discipline such as Engineering, Computer Science, Mathematics or Physics
At least 5 years of professional experience
Applicable technical experience on model-based systems engineering (MBSE) projects
Ability to work collaboratively on an Agile team with both local and geographically distributed teammates including subcontractors, technical agents, and customers
Excellent demonstrated interpersonal and time management skillsets
Must be a US citizen; this position will require a government security clearance
Clearance Level: Secret
Experience Level: Experienced Professional

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Senior AWS Redshift Data Engineer (Contract | 1099)

BrainTrust

New York, NY 10001

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Mechanical Design Engineer

Curtiss-Wright

Airmont, NY 10952

OnsitePaid Time OffRetirement Benefit

Bachelor's degree in Mechanical Engineering or a related discipline
8-12+ years of progressive mechanical design engineering experience, including hands-on system development, testing, and manufacturing support
Demonstrated expertise in mechanical system design, analysis, prototyping, and troubleshooting
Strong capability in experiment design, data interpretation, and resolving discrepancies between modeled and actual results
Experience directing technicians or support teams in fabrication, testing, or equipment installation
Proficiency with CAD tools, engineering documentation practices, and mechanical testing methods
Strong communication and presentation skills for cross-functional and customer-facing interactions
Ability to develop innovative, practical solutions to complex technical problems
901D is a Defense Contractor; U.S. Citizenship or U.S. Person status is required for this position
This position may require exposure to information subject to U.S. export control regulations under the International Traffic in Arms Regulations (ITAR) or the Export Administration Regulations (EAR). All applicants must be U.S. persons within the meaning of U.S. regulations.

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Director of Engineering

Marine Electric Systems

South Hackensack, NJ 07606

~ 25 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

Bachelor's degree in Electrical Engineering or a closely related engineering discipline.
Significant experience in electrical engineering, sustaining engineering, production engineering, test engineering, or engineering leadership in a manufacturing environment.
Strong hands-on technical knowledge of electrical and electromechanical systems.
Experience with PCB troubleshooting, electrical testing, components, assemblies, and production support.
Ability to read and interpret drawings, schematics, specifications, technical data packages, and test procedures.
Experience supporting manufacturing, production, repair, or sustainment work.
Ability to make practical engineering decisions with imperfect information.
Strong communication skills and ability to work cross-functionally with production, quality, procurement, sales, and leadership.
Demonstrated ability to mentor junior engineers or technical staff.
Strong organizational skills and ability to create structure in a fast-moving small-company environment.

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Head of AI Data Science, Intelligence Ventures

Spectrum

New York, NY 10036

~ 24 min Onsite

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

SmartExplore AI is experimental.