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Internship Aws Machine Learning Jobs in Annapolis, MD

AI Squared

Machine Learning Engineer

Washington, DC · On-site

Machine Learning Engineer Washington, DC (Hybrid) About the Role: We are seeking a highly skilled ... Optimize runtime performance of ML models across cloud platforms (AWS, GCP, Azure) and distributed ...

AI Squared

Machine Learning Engineer

Washington, DC · On-site

Machine Learning Engineer Washington, DC (Hybrid) About the Role: We are seeking a highly skilled ... Optimize runtime performance of ML models across cloud platforms (AWS, GCP, Azure) and distributed ...

AI Squared

Machine Learning Engineer

Washington, DC

Machine Learning Engineer Washington, DC (Hybrid) About the Role: We are seeking a highly skilled ... Optimize runtime performance of ML models across cloud platforms (AWS, GCP, Azure) and distributed ...

AISquared

Machine Learning Engineer

Washington, DC · On-site

... Machine Learning Engineer to join their core AI team. In this role, you will be responsible for ... cloud platforms (AWS, GCP, Azure) and distributed systems. • Apply containerization and ...

Spear AI

Machine Learning Engineer

Washington, DC · On-site +1

Experience training and serving models in cloud environments (AWS, Azure, GCP) * Proficiency with ... Strong fundamentals in machine learning including model architecture design, training strategies ...

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$25.2K

$42.2K

$87.1K

How much do internship aws machine learning jobs pay per year?

As of Aug 30, 2026, the average yearly pay for internship aws machine learning in Annapolis, MD is $42,155.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,200.00 and $45,500.00 per year, depending on experience, location, and employer.

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Internship Aws Machine Learning jobs near you

AWS AI Solutions Architect / AI Engineering Advisor

Aligned Technology Group

Baltimore, MD • On-site

$130 - $160/hr

Other

Re-posted 7 days ago

Job description

AWS AI Solutions Architect / AI Engineering Advisor

About Aligned Technology Group (Aligned TG)
Aligned TG empowers organizations to harness the full potential of AWS cloud technologies, driving secure, scalable, and sustainable business outcomes. We approach every challenge with grit, embracing a results-driven mindset to ensure our clients achieve their goals. Our mission is to deliver unparalleled cloud advisory, engineering, financial management, and security services while continuously learning and innovating to stay ahead of industry advancements. Guided by a culture of collaboration and humility—where being "Team AWSome" means leaving egos at the door—we tailor our services to meet the unique needs of technology-enabled startups, mid-market, and enterprise clients. With a focus on execution, agility, and excellence, we are the trusted partner businesses rely on to navigate the complexities of cloud modernization and achieve their strategic objectives.

Position Overview

Aligned Technology Group is seeking an AI Solutions Architect to help customers evaluate, design, and implement AI and Generative AI solutions on AWS. This role combines strategic consulting with hands‑on architecture and engineering to deliver AI‑driven business outcomes.

  • Assess business use cases for AI, machine learning, and Generative AI
  • Develop AI adoption roadmaps and governance frameworks
  • Design AI architectures using AWS AI services such as Bedrock, SageMaker, and Amazon Q
  • Build proof‑of‑concept and pilot AI solutions
  • Develop Retrieval‑Augmented Generation (RAG) architectures and knowledge bases
  • Implement AI‑powered automation and workflow solutions
  • Establish responsible AI practices, guardrails, and governance controls
  • Conduct workshops, training sessions, and knowledge transfer activities
  • Collaborate with business and technical stakeholders to identify AI opportunities
Qualifications
  • 5+ years of cloud architecture, AI, machine learning, or data engineering experience
  • Hands‑on experience with Generative AI and Large Language Models
  • Experience with Amazon Bedrock, SageMaker, and AI application development
  • Knowledge of RAG architectures, vector databases, and AI governance
  • Strong customer‑facing consulting and communication skills
  • AWS Solutions Architect certification preferred
  • AWS AI Practitioner or AWS Machine Learning Specialty preferred
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