
AI Expert – Strategy & Advisory (Transportation & Healthcare)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI Expert – Strategy & Advisory, focusing on transportation and healthcare, with a contract length of unspecified duration, a pay rate of "unknown," and a hybrid/remote location in New Jersey. Requires 15+ years in IT, 5+ in AI/ML architecture, and expertise in ML frameworks and cloud platforms (GCP, Azure, AWS).
🌎 - Country
United States
💱 - Currency
Unknown
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💰 - Day rate
-
🗓️ - Date discovered
June 5, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
On-site
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Jersey City, NJ 07032
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🧠 - Skills detailed
#Security #Cloud #ChatGPT #Model Deployment #TensorFlow #AI (Artificial Intelligence) #Kubernetes #Data Governance #Scala #PyTorch #Deployment #Azure #Docker #Deep Learning #Data Engineering #Compliance #GCP (Google Cloud Platform) #AWS (Amazon Web Services) #Leadership #ML (Machine Learning) #Data Pipeline #Strategy
Role description
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Job title: AI-ML Solution ArchitectDomains: Transportation/Transit & HealthcareLocation: New Jersey, USA – Hybrid/Remote
About the Role
We're seeking a strategic AI-ML Solution Architect with a strong background in transportation and healthcare to lead AI platform architecture, advisory, and implementation initiatives. The ideal candidate brings a deep understanding of ML, LLMs, cloud integration, and business alignment to drive enterprise-scale AI solutions.
Key Responsibilities
Provide strategic and advisory leadership on AI/ML initiatives across transportation and healthcare domains.
Perform gap analysis, define high-impact AI use cases, and guide solution development to address them.
Architect scalable AI platforms leveraging ML, Deep Learning, and LLMs across cloud ecosystems (GCP, Azure, AWS).
Collaborate closely with business teams to gather requirements and translate them into AI-driven outcomes.
Integrate and optimize LLMs from major AI platforms, including OpenAI (ChatGPT), Google Gemini, Groq, and Azure OpenAI, tailored to enterprise use cases.
Lead infrastructure design, cloud service selection, data pipeline creation, and model deployment.
Define and enforce AI/ML architecture standards, data governance, and security best practices.
Evaluate emerging AI tools and platforms for enterprise fit and strategic value.
Communicate architectural decisions to technical and executive stakeholders.
Mentor development teams and optimize performance across cross-functional environments.
Required Experience & Skills
15+ years in IT, including 5+ years in AI/ML solution architecture.
Proven ability to engage with business teams, define AI opportunities, and deliver solutions.
Strong domain knowledge in transportation/transit and healthcare.
Expertise in ML/DL frameworks (TensorFlow, PyTorch, Scikit-Learn) and LLMs integration.
Hands-on experience with cloud AI platforms: GCP, Azure, AWS.
Skilled in MLOps, data engineering, containerization (Docker, Kubernetes), and CI/CD pipelines.
Familiarity with model lifecycle management, governance, and compliance.
Excellent communication and leadership skills to influence across technical and executive levels.
Job Type: Contract
Schedule:
8 hour shift
Work Location: In person