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Remote Aws Ai Practitioner Jobs in Racine, WI (NOW HIRING)

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Remote Aws Ai Practitioner information

What is a remote AWS AI practitioner?

A Remote AWS AI Practitioner is a professional who uses Amazon Web Services (AWS) to design, develop, and deploy artificial intelligence (AI) solutions while working remotely. They leverage AWS AI and machine learning services like Amazon SageMaker, AWS Lambda, and AWS Rekognition to build and manage intelligent applications. These practitioners often collaborate with teams online, ensure scalability and security of AI models, and help organizations automate processes or gain insights from data using AWS technology.

How do remote AWS AI practitioners typically collaborate with cross-functional teams despite working remotely?

Remote AWS AI Practitioners regularly collaborate with software engineers, data scientists, and product managers via virtual meetings and cloud-based project management tools. Effective communication is crucial, as they often need to clarify requirements, share progress, and troubleshoot issues in real time. Many organizations use platforms like Slack, Jira, and AWS Cloud9 to facilitate seamless teamwork and code sharing. Building strong relationships and maintaining proactive communication are key to overcoming remote work challenges and ensuring successful AI project delivery.

What are the key skills and qualifications needed to thrive as a remote AWS AI practitioner, and why are they important?

To thrive as a Remote AWS AI Practitioner, you need a solid background in machine learning, data science, and cloud computing, typically supported by a degree in computer science or a related field and experience with AWS services. Proficiency with AWS tools like SageMaker, Lambda, and AI/ML frameworks, as well as relevant certifications such as AWS Certified Machine Learning – Specialty, is highly valuable. Strong problem-solving abilities, effective communication, and the ability to work independently are important soft skills in this remote role. These competencies are crucial for designing scalable AI solutions, collaborating with distributed teams, and delivering impactful results in a cloud-based environment.

What is the difference between Remote Aws Ai Practitioner vs Remote Data Scientist?

AspectRemote Aws Ai PractitionerRemote Data Scientist
Required CredentialsAWS certifications, AI/ML knowledgeStatistics, programming, data analysis skills
Work EnvironmentCloud platforms, AI/ML tools, remoteData analysis, modeling, research, remote
Employer & Industry UsageTech companies, cloud providers, AI firmsResearch institutions, tech, finance, healthcare
Common Search & ComparisonYesYes

Remote Aws Ai Practitioners focus on deploying AI solutions using AWS cloud services, requiring AWS certifications and cloud expertise. Remote Data Scientists analyze data, build models, and interpret results, often with a background in statistics and programming. While both roles involve AI and data, the AWS Ai Practitioner emphasizes cloud deployment and AWS tools, whereas Data Scientists focus on data analysis and modeling across various platforms.

Can a Remote AWS AI Practitioner get you a job?

A Remote AWS AI Practitioner role can help you secure a job in cloud computing and artificial intelligence fields, especially if you have skills in AWS services, machine learning, and relevant certifications like AWS Certified Machine Learning – Specialty. Many companies hire remote professionals for these positions, which often require strong technical knowledge and experience with AI tools and cloud environments.

How much do remote AWS AI practitioners make?

Remote AWS AI practitioners typically earn between $80,000 and $150,000 annually, depending on experience, certifications, and location. Senior roles or those with specialized skills in machine learning and cloud architecture can earn higher salaries, often exceeding $150,000 per year.

Is AWS certified AI practitioner in demand?

AWS Certified AI Practitioner roles are in demand as organizations increasingly adopt cloud-based AI solutions and seek professionals with cloud and AI skills. Certification demonstrates proficiency in AWS AI services like SageMaker and Rekognition, making certified practitioners valuable in the job market.

What are popular job titles related to Remote Aws Ai Practitioner jobs in Racine, WI?

For Remote Aws Ai Practitioner jobs in Racine, WI, the most frequently searched job titles are:

What job categories do people searching Remote Aws Ai Practitioner jobs in Racine, WI look for?

The top searched job categories for Remote Aws Ai Practitioner jobs in Racine, WI are:

Remote Aws Ai Practitioner jobs near you
Infographic showing various Remote Aws Ai Practitioner job openings in Racine, WI as of August 2026, with employment types broken down into 8% Internship, 63% Full Time, 8% Part Time, and 21% Contract. Highlights an 100% Remote job distribution.

Generative AI Automation Engineer - Remote Job

Racine, WI • Remote

EnthuZiastic
E-Learning • 11 - 50 employees
Learn more about EnthuZiasticexternal

Full-time

Re-posted 19 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