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Cloud Engineer Intern Remote Jobs in Delaware (NOW HIRING)

Athena LLC

Role Overview The AI Engineer Intern will develop and enhance Large Language Models (LLMs) to ... Experience with ML ops or model deployment (e.g. using cloud AI services, Docker, REST APIs for ...

Symmetry

$14.25 - $18.75/hr

Our data security posture management platform is engineered specifically to address modern data ... Remote Duration: 10-12 weeks (Summer 2025)

Symmetry

$15 - $20/hr

Our data security posture management platform is engineered specifically to address modern data ... Remote Duration: 10-12 weeks (Summer 2025)

Symmetry

$14.50 - $19.50/hr

Our data security posture management platform is engineered specifically to address modern data ... Remote Duration: 10-12 weeks (Summer 2025)

Symmetry

$14.25 - $18.75/hr

Our data security posture management platform is engineered specifically to address modern data ... Remote Duration: 10-12 weeks (Summer 2025)

Symmetry

$14.50 - $19.25/hr

Our data security posture management platform is engineered specifically to address modern data ... Remote Duration: 10-12 weeks (Summer 2025)

Symmetry

$14.75 - $19.50/hr

Our data security posture management platform is engineered specifically to address modern data ... Remote Duration: 10-12 weeks (Summer 2025)

Symmetry

$13 - $17.50/hr

Our data security posture management platform is engineered specifically to address modern data ... Remote Duration: 10-12 weeks (Summer 2025)

Athena LLC

Collaborate closely with data science, product, and engineering teams to integrate models into ... Familiarity with cloud platforms (AWS, GCP) and big data technologies (e.g., Spark, S3, Snowflake)

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Cloud Engineer Intern Remote information

What is the difference between Cloud Engineer Intern Remote vs Cloud Support Engineer Intern?

AspectCloud Engineer Intern RemoteCloud Support Engineer Intern
Required CredentialsBasic cloud certifications (e.g., AWS, Azure), relevant courseworkSimilar certifications, focus on troubleshooting skills
Work EnvironmentRemote, collaborative cloud projectsRemote, customer support scenarios
Industry UsageCloud service providers, tech companiesIT service providers, cloud vendors

Both roles involve cloud technology fundamentals and remote work. Cloud Engineer Intern Remote focuses on designing and implementing cloud solutions, while Cloud Support Engineer Intern emphasizes troubleshooting and supporting cloud services. The roles often overlap in certifications and work environment but differ in daily responsibilities.

What does a cloud engineer intern do?

A Cloud Engineer Intern working remotely assists with tasks related to designing, deploying, and maintaining cloud-based systems and applications. They typically support senior engineers by helping with infrastructure automation, cloud service configuration, monitoring, troubleshooting, and documentation. Interns may work with platforms like AWS, Azure, or Google Cloud, and gain experience using tools like Terraform, Docker, or Kubernetes. This remote role requires strong communication skills, self-motivation, and the ability to collaborate effectively using digital tools.

What are some common challenges faced by cloud engineer interns working remotely, and how can they overcome them?

Remote Cloud Engineer Interns often encounter challenges such as effective communication with team members across different time zones, gaining access to necessary cloud resources, and staying updated on ongoing projects. To overcome these, interns should proactively schedule regular check-ins with mentors, utilize collaboration tools like Slack or Microsoft Teams, and document their progress thoroughly. Engaging in online training modules and seeking feedback frequently can also help interns stay connected and accelerate their learning in a remote environment.

What are the key skills and qualifications needed to thrive as a cloud engineer intern?

To thrive as a Cloud Engineer Intern Remote, you need a foundational understanding of cloud computing concepts, programming/scripting skills (such as Python or Bash), and relevant coursework or certifications in platforms like AWS, Azure, or Google Cloud. Familiarity with version control systems (like Git), basic networking, and hands-on experience with cloud management consoles or CLI tools are typically expected. Strong problem-solving abilities, effective communication, and self-motivation are important soft skills, especially for remote collaboration. These skills ensure you can contribute to cloud projects, adapt to technical challenges, and work efficiently with distributed teams.
What are popular job titles related to Cloud Engineer Intern Remote jobs in Delaware? For Cloud Engineer Intern Remote jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Cloud Engineer Intern Remote jobs in Delaware look for? The top searched job categories for Cloud Engineer Intern Remote jobs in Delaware are:
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Cloud Engineer Intern Remote jobs near you

AI Engineering Intern

Athena LLC

On-site, Remote

Full-time

Re-posted 2 days ago

Job description

At Athena, we empower possibility through transformative delegation. Our mission is to build the world's premier delegation platform, combining the strengths of exceptional Executive Assistants with advanced AI technologies to save our clients millions of hours each year.
Role Overview
The AI Engineer Intern will develop and enhance Large Language Models (LLMs) to improve task delegation workflows, instruction generation, and automate agentic processes. This role will also contribute to building and improving AI agentic systems that can reason through tasks, use tools, and support more reliable task execution across Athena workflows. You will play a crucial role in prototyping, developing, and deploying cutting-edge AI features that directly impact client productivity and efficiency.
Responsibilities
  • Assist in developing and fine-tuning large language models (LLMs) to better understand and generate instructions for complex tasks. You'll experiment with model parameters and training data to improve performance.
  • Build and integrate AI-driven features that improve task delegation workflows - for example, creating intelligent agents that break down client requests into actionable steps for our team.
  • Collaborate with senior AI engineers to prototype systems that use AI for agentic workflows, enabling the platform to automatically handle or delegate routine instructions.
  • Support the development of AI agentic components such as task planning, tool use, memory, prompt workflows, and orchestration logic to help agents operate more effectively in real-world scenarios.
  • Evaluate model outputs for accuracy and usefulness. Develop tests and metrics to assess how well the AI-generated instructions or recommendations are performing in real-world scenarios.
  • Help build lightweight evaluation harnesses and experiments to test agent behavior, workflow reliability, and the quality of AI-generated task execution.
  • Work cross-functionally with product and software engineers to implement AI solutions into the Athena platform. Communicate technical findings and iterate on solutions based on user feedback.

Qualifications
  • Currently pursuing (or recently completed) a degree in Computer Science, Stats, or related field, with coursework in machine learning or artificial intelligence.
  • Strong programming abilities in Python (and familiarity with ML libraries like TensorFlow, PyTorch). Comfortable with data structures, algorithms, and writing clean, efficient code.
  • Solid understanding of machine learning fundamentals and algorithms (classification, NLP, Deep Learning). Familiarity with concepts of training, fine-tuning, and evaluating models.
  • Knowledge of natural language processing techniques. Understanding how large language models work and experience using or implementing NLP models.
  • Interest in AI agentic systems, including areas such as prompt design, tool use, workflow orchestration, multi-step reasoning, or evaluation of LLM-based systems.
  • Ability to break down complex problems and experiment with creative AI solutions. Eagerness to learn new technologies and frameworks quickly.

Preferred Qualifications
  • Previous projects or internship experience involving machine learning or AI (especially work with LLMs or NLP projects).
  • Experience with ML ops or model deployment (e.g. using cloud AI services, Docker, REST APIs for model serving).
  • Familiarity with concepts like reinforcement learning, prompt engineering for LLMs, or building multi-agent systems.
  • Experience with data preprocessing pipelines, and working with datasets relevant to language models or automation tasks.
  • Exposure to agent evaluation, prompt pipelines, orchestration frameworks, or AI systems that interact with external tools or APIs is a plus.
  • Awareness of the latest trends and research in AI/ML (new model architectures, papers, etc.), showing a passion for staying up-to-date in the field.

Benefits
  • You will be mentored by Athena's AI and software engineering experts. They will provide guidance, code reviews, and support as you work on challenging AI projects, ensuring you learn best practices in the field.
  • Expect to engage with cutting-edge AI technology. You'll contribute to pioneering projects (like improving AI-driven delegation) that could become core Athena offerings, giving you tangible achievements to highlight in your career.
  • Be part of a collaborative, forward-thinking team. Interns at Athena are included in all aspects of company life - from daily stand-ups to social outings - receiving the same respect and perks as full-timers.
  • This internship will enhance your practical AI skills and professional network. You'll leave with a deeper understanding of how AI can automate and improve real-world processes, and you may earn opportunities for future employment at Athena.com based on your performance.

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