Ai-Enhanced Technology Jobs in New York City, NY

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Looking for Ai-Enhanced Technology jobs in New York City, NY? Browse our curated listings with transparent salary information to find the perfect Ai-Enhanced Technology position in the New York City, NY area.

Manager, Advanced Analytics

Company: GroupM

Location: New York, NY

Posted Jan 24, 2025

View Details Apply on The Muse

Manufacturing Team Member I

Company: BD

Location: Queensbury, NY

Posted Jan 24, 2025

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Pharmacy Manager

Company: CVS Health

Location: New Orleans, LA

Posted Jan 24, 2025

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Global Banking Client Coverage Segment Product Controller, Associate

Company: JPMorgan Chase

Location: New York, NY

Posted Jan 24, 2025

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Senior Associate, Planning

Company: GroupM

Location: New York, NY

Posted Jan 24, 2025

View Details Apply on The Muse

Senior DevOps Engineer

Company: EPAM Systems

Location: Ho Chi Minh City, Vietnam

Posted Jan 24, 2025

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vertically farmed pesticide free strawberries maintaining Oishii merchandising standards gathering insights from retailfieldconsumers

Part-Time District Sales Associate (NYC Metro)

Company: Oishii

Location: New York City, NY

Posted Jan 24, 2025

Oishii Berries, a vertically farmed pesticide-free strawberry company, is seeking a Part-Time District Sales Associate (DSA) for a job in the NYC Metro area. The DSA will spend 90% of their time in-store, maintaining merchandising standards, gathering consumer insights, and building relationships with key stakeholders. They will also coordinate with the Regional Sales Manager (RSM) on demo planning, preparation, and reporting. The role requires a reliable form of transportation, flexible scheduling, and the ability to work independently. Oishii offers competitive pay, paid training, and company holidays. The company is known for its innovative vertical farming technology and has been recognized by various media outlets.

View Details Apply on BuiltIn

Vice President, Inclusive Innovation & Analytics, Center for Inclusive Growth

Company: Mastercard

Location: Scarsdale, NY

Posted Jan 24, 2025

View Details Apply on The Muse

Manager, Analytics

Company: GroupM

Location: New York, NY

Posted Jan 24, 2025

View Details Apply on The Muse

Human Resources Expert

Company: Target

Location: New Orleans, LA

Posted Jan 24, 2025

View Details Apply on The Muse

Pharmacy Technician

Company: CVS Health

Location: Queensbury, NY

Posted Jan 24, 2025

View Details Apply on The Muse

Infrastructure Architect

Company: Mizuho

Location: New York, NY

Posted Jan 24, 2025

View Details Apply on The Muse

Frequently Asked Questions

What are typical salary ranges by seniority for AI-Enhanced Technology roles?
Entry‑level ML Engineer or Data Scientist: $90k–$110k. Mid‑level: $120k–$150k. Senior/Lead: $160k–$200k. Staff/Principal: $210k–$260k. Director/VP: $250k–$350k (base + bonus + equity). These ranges reflect U.S. market averages for cloud‑native AI positions.
Which skills and certifications are most valuable in AI-Enhanced Technology?
Core skills: Python, PyTorch/TensorFlow, Kubernetes, Docker, CI/CD, Airflow, MLflow, SageMaker, Vertex AI, Azure ML, MLOps, reinforcement learning, generative models, NLP, CV, data engineering, SQL, Spark. Certifications: AWS Certified Machine Learning – Specialty, Google Professional Machine Learning Engineer, Microsoft Certified: Azure AI Engineer Associate, TensorFlow Developer Certificate, Certified Data Scientist (CDS), DeepLearning.AI TensorFlow Practitioner.
Is remote work common for AI-Enhanced Technology positions?
Yes. Many AI‑Enhanced Tech companies adopt remote‑first or hybrid models. Companies such as OpenAI, DeepMind, UiPath, NVIDIA, and Cloudflare offer fully remote roles; others provide 3‑4 days per week remote availability, while hardware‑lab positions may require occasional on‑site presence.
What career progression paths exist in AI-Enhanced Technology?
Typical trajectory: Junior Data Scientist → ML Engineer → MLOps Engineer → Lead ML Engineer → AI Solutions Architect → AI Product Manager → Director of AI → VP of AI. Each step adds responsibilities from model training to infrastructure management, product strategy, and executive leadership.
What are the current industry trends shaping AI-Enhanced Technology?
Key trends include generative AI and multimodal models, reinforcement learning for robotics, edge AI for IoT and autonomous vehicles, responsible AI and fairness regulation, AI‑Ops for continuous monitoring, AI‑as‑a‑Service platforms, and domain‑specific AI in healthcare diagnostics, finance fraud detection, and cybersecurity threat intelligence.

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