Ai-Enhanced Technology Jobs in Remote

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

Insights Manager

Company: DISQO

Location: Remote

Posted Jan 25, 2025

DISQO is seeking a data-driven insights leader to join their Ad Measurement team. The ideal candidate will have a passion for insights and innovation in digital and media spaces, with a strong background in consumer research and marketing analytics. The role involves championing customer relationships, driving end-to-end ad measurement solutions deployment, and contributing to process optimization. DISQO offers a positive, performance-oriented workplace with competitive benefits and a flexible hybrid approach.

Senior Technical Consultant - Source-to-Pay (S2P)

Company: ServiceNow

Location: Staines, United Kingdom / Remote

Posted Jan 25, 2025

Q2C Solution architect

Company: Hitachi Energy

Location: Krakow, Poland / Remote

Posted Jan 25, 2025

Advisory Solution Consultant - Payer Accounts

Company: ServiceNow

Location: Louisville, KY / Remote

Posted Jan 25, 2025

Adobe Program Manager (on site)

Company: Blue Acorn iCi

Location: Remote

Posted Jan 25, 2025

Blue Acorn iCi, an Infosys company, is seeking a detail-oriented Program Manager with Adobe application experience for an on-site role in Overland Park KS, Bellevue WA, or Atlanta GA. The ideal candidate will manage project schedules, financials, and success, ensuring high client satisfaction. Responsibilities include managing day-to-day communications, facilitating status meetings, controlling quality, managing risks, and ensuring project gross margin and client budget management.

Lead System Design Engineer

Company: GE Vernova

Location: Houston, TX / Remote

Posted Jan 25, 2025

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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