Jobs2Careers logoHome

Ai Machine Learning Engineer Llms

New York,NY

700 Ai Machine Learning Engineer Llms jobs in New York,NY

New, Posted 1 day ago
Recommended
Apply Directly
Software Development Engineer, Generative AI, Annapurna Labs - Neuroboros Team

Annapurna Labs (U.S.)

New York, NY 10261

New, Posted 10 hours ago
Recommended
ZipRecruiter
Applied Researcher 5 (AI Foundations, LLM Core and Agentic AI)

Capital One

New York, NY 10012

New, Posted 10 hours ago
Recommended
ZipRecruiter
AI Engineer 4 (AI Foundations, LLM Core and Agentic AI)

Capital One

New York, NY 10012

New, Posted 4 hours ago
Recommended
DiversityJobs
Senior Data Scientist & Machine Learning Engineer

Chobani

New York, NY 10012

New, Posted 1 hour ago
Recommended
DiversityJobs
Senior Machine Learning Engineer

Optimum Communications

Long Island City, NY 11101

$156,774-$198,273/yr
New, Posted 13 hours ago
Apply Directly
Recruiting Systems & Data Integration Engineer

engin sciences

New York, NY 10025

RemoteHealth Insurance

  • Professional experience building ATS, HR technology, or recruiting-system integrations.
  • Familiarity with one or more ATS platforms such as Bullhorn, Avionte, JobDiva, Greenhouse, Lever, Workday, iCIMS, or SmartRecruiters.
  • Experience integrating third-party systems through REST APIs, webhooks, OAuth, scheduled jobs, file transfers, or data exports.
  • Strong Node.js, TypeScript and PostgreSQL skills.
  • Experience modeling and synchronizing interconnected records such as jobs, candidates, applications, submissions, and placements.
  • Experience designing data synchronization systems where correctness, idempotency, throughput, and recovery from partial failures matter.
  • Experience processing large volumes of operational data through batching, pagination, incremental synchronization, and backfills.
  • Ability to investigate unfamiliar systems, understand inconsistent data models, and turn ambiguous requirements into reliable solutions.
  • Strong debugging skills across authentication, data mapping, API behavior, synchronization state, and data quality.
  • A practical approach to engineering reliable systems without unnecessary complexity.
  • Comfort owning customer integration problems from initial discovery through deployment and ongoing support.
  • Experience incorporating coding agents into day-to-day software engineering work.
  • Experience leading technical conversations with both technical and nontechnical customer stakeholders, translating customer problems and workflows into clear integration requirements and practical solutions.
  • Experience handling sensitive customer and candidate data using appropriate security, privacy, access-control, and data-retention practices.
SmartExplore AI is experimental.
View now
New, Posted 1 day ago
Apply Directly
Principal Product Manager - Tech, Amazon Publisher Monetization - Video Network

Amazon.com Services LLC

New York, NY 10261

OnsiteHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's degree
  • 10+ years of end to end product delivery experience
  • 10+ years of technical product or program management experience
  • Experience with feature delivery and tradeoffs of a product
  • Experience leading engineering discussions around technology decisions and strategy related to a product
  • Experience owning/driving roadmap strategy and definition
  • Experience working with and influencing senior level stakeholders
  • Experience leading cross-organizational programs and setting and holding teams and individuals to timelines and deliverables without explicit authority
SmartExplore AI is experimental.
View now
New, Posted 1 day ago
Recommended
Apply Directly
Premium Support Business Development Manager, AWS Enterprise Support

Amazon

New York, NY 10261

Urgently HiringFlexible Schedule
Apply Directly
Director, AI, Data & Google Cloud

KPMG

New York, NY 10025

OnsiteHealth InsuranceRetirement Benefit

  • A minimum of 8 years in data analytics, AI/ML, and cloud technology, including leadership roles in consulting or technology organizations.
  • Google Cloud certifications (e.g., Professional Cloud Architect, Machine Learning Engineer) or equivalent are a plus.
  • Bachelor's Degree required with an advanced degree in Computer Science, Data Science, Engineering, or related field preferred.
  • Deep knowledge and hands-on experience with Google Cloud's AI ecosystem (including Agent Builder, Contact Center AI, and Dialogflow) to design and orchestrate intelligent multi-agent systems such as chatbots and virtual assistants that handle complex, dynamic tasks and conversations.
  • Proficient in architecting and implementing AI-powered workflow solutions using Google Cloud services (e.g., Vertex AI, Dialogflow CX), with capabilities in defining blueprints and technical requirements for scalable, automated systems with expertise in agentic AI and automation.
  • Skilled in designing multi-agent conversational AI systems integrated with enterprise applications (CRM, ERP), enhancing customer engagement through smart chatbots and virtual agents to improve user experience and operational efficiency. Experienced in conversational AI integration.
  • Deep understanding of scaling AI-driven solutions, ethical AI, and MLOps practices for maintaining models.
  • Travel as needed
  • Must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future.
SmartExplore AI is experimental.
View now
Apply Directly
Manager, Healthcare AI Revenue Cycle Management

KPMG

New York, NY 10025

OnsiteHealth InsuranceRetirement Benefit

  • Minimum five years of consulting experience focused on operations performance improvement, systems integration, or equivalent industry experience (front, middle and back office experience preferred)
  • Minimum two years of direct supervisory experience, with preference of two to three years of experience managing teams
  • Bachelor's degree from an accredited college/university
  • Progressive experience using AI tools in implementing operational improvement plan across all phases of healthcare revenue cycle management and patient access including financial clearance, scheduling, referral management, billing, follow-up/collections and vendor management
  • Experience building AI tools to handle, analyze and evaluate large data sets with advanced analytics and visualization tools; working with project management teams, drafting status reports, tracing issues, monitoring resources, and workflow analysis/design
  • Deep understanding of the intersection of AI capabilities around scheduling/registration functions, financial clearance, clinical documentation, care delivery and care coordination, patient flow/throughput, referral management, clinical/operational/financial analytics, reporting and key initiatives such as patient experience transformations
  • Proficiency with foundational consulting skills such as analytical, written and verbal communication; possess appropriate client presence, facilitation and presentation abilities
  • 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.
View now
Profile builder
Answer questions related to your search and surface your matches.
Browse Jobs
  • Jobs in Top Cities
  • Jobs by State
  • Jobs by Title
  • Jobs by Category
Tools
  • Free Resume Builder
  • Jobs2Careers+ Extension
Company
  • Post a Job
  • About
  • Advice
  • Contact
Jobs2Careers Powered by Talroo© 2026 Jobs2Careers
Logos provided by Logo.dev
© 2026 Jobs2Careers
Privacy PolicyTerms of UseYour Privacy ChoicesCalifornia Consumer Privacy Act (CCPA) Opt-Out Icon
Jobs2Careers Powered by Talroo