AI Engineer

Job not on LinkedIn

🕒 July 16

🦀 Maryland – Remote

🦀 Maryland – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 30%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Global Alliant Inc

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Global Alliant Inc. is an award-winning information technology consulting and software development company based in Maryland. With expertise in AI, machine learning, and cloud solutions, they empower federal and state agencies to tackle complex challenges efficiently. Their services include agile practices, DevSecOps, data analytics, and AI-driven digital transformation. They have a proven track record in enhancing efficiency and security for government agencies through innovative IT solutions, exemplified by projects such as improving NOAA's data processing and automating HRSA's workload. Their focus on agile methodologies and security integration supports consistent, impactful results.

📋 Description

• Develop and implement AI/ML models and solutions to support healthcare data initiatives. • Collaborate with cross-functional teams to ensure successful deployment of AI/ML technologies. • Analyze and interpret complex healthcare data to drive actionable insights. • Ensure compliance with healthcare regulations and guidelines regarding data usage.

🎯 Requirements

• 5+ years of experience in AI/ML, Data Science, Data Engineering, or Analytics. • 3+ years of hands-on experience working with healthcare data. • Experience building, deploying, and supporting AI/ML models in production environments. • Strong knowledge of healthcare data, analytics, and data engineering best practices. • Experience with Agile/Scrum software development methodologies. • Familiarity with Responsible AI, AI governance, and data security/compliance. • Strong analytical, problem-solving, and critical thinking skills. • Excellent communication and stakeholder collaboration abilities. • Experience supporting large-scale healthcare or public sector projects is preferred. • Public Trust clearance or the ability to obtain one is a plus.