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Ai Engineer Remote Internship Jobs in Georgia (NOW HIRING)

Siemens

$18 - $50/hr

Comfortable working in a fully remote environment within the United States of America ... AI technologies. * Familiarity with digital engineering, PLM, or engineering data management ...

New

Siemens

$18 - $50/hr

Comfortable working in a fully remote environment within the United States of America ... AI technologies. * Familiarity with digital engineering, PLM, or engineering data management ...

New

Siemens

$18 - $50/hr

Comfortable working in a fully remote environment within the United States of America ... AI technologies. * Familiarity with digital engineering, PLM, or engineering data management ...

New

Siemens

$18 - $50/hr

Comfortable working in a fully remote environment within the United States of America ... AI technologies. * Familiarity with digital engineering, PLM, or engineering data management ...

New

Siemens

$18 - $50/hr

Comfortable working in a fully remote environment within the United States of America ... AI technologies. * Familiarity with digital engineering, PLM, or engineering data management ...

New

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Ai Engineer Remote Internship information

What is an AI Engineer remote internship?

An AI Engineer Remote Internship is a temporary, often entry-level position that allows students or recent graduates to gain practical experience working with artificial intelligence technologies while working remotely. Interns typically assist in developing, testing, and deploying machine learning models, as well as collaborating with teams on data analysis and AI-based solutions. Remote internships provide flexibility, allowing interns to work from any location while still gaining valuable industry experience and networking opportunities.

What are the key skills and qualifications needed to thrive as an AI Engineer remote intern?

To thrive as an AI Engineer Remote Intern, you need a solid foundation in computer science, machine learning principles, and programming languages like Python, often demonstrated through relevant coursework or projects. Familiarity with tools such as TensorFlow, PyTorch, version control systems (e.g., Git), and cloud platforms like AWS or Google Cloud is typically expected. Strong problem-solving skills, self-motivation, and effective remote communication are essential soft skills for success in a distributed team environment. These abilities enable interns to contribute meaningfully to AI projects, learn quickly, and collaborate efficiently despite the challenges of remote work.

How does an AI Engineer remote internship typically structure mentorship and collaboration given the virtual work environment?

Remote AI Engineer internships often use a combination of regular video check-ins, code reviews, and collaborative tools like GitHub and Slack to facilitate mentorship and teamwork. Interns are usually paired with a dedicated mentor or participate in a small project team, ensuring ongoing support and feedback despite the physical distance. Effective communication and proactive engagement are crucial, as interns may need to reach out regularly for guidance and share progress updates. This structure helps interns gain hands-on experience, develop problem-solving skills, and build professional relationships in a remote setting.

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Ai Engineer Remote Internship jobs near you

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Savannah, GA • Remote

Full-time

Re-posted 18 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply