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Remote Amazon Automation Engineer Jobs in Michigan

Capgemini

$82K - $193K/yr

Location This is a remote role, supporting Eastern time. About the job you're considering We are ... Drive seamless integration of automation solutions into CI/CD pipelines and DevOps ecosystems to ...

New

CSAA

Design and implement automation, monitoring, observability, and operational tooling to improve ... Experience with AI/ML platforms such as Palantir Foundry, Amazon SageMaker, AWS Bedrock, Databricks ...

EnerSys

Senior Finance AI & Automation Developer

Novi, MI · On-site +1

$95K - $142K/yr

Remote * Tuesday-Thursday: Onsite at our Reading, PA location Candidates outside the Reading, PA ... Job Purpose The Senior Finance AI & Automation Developer's primary responsibilities are to design ...

Convergix Automation

Applications Engineer

Bridgman, MI · On-site +1

Industrial Automation, Applications Engineer Bridgman, Michigan Mid-West USA (Remote) We are seeking talented and energetic individuals to join our growing team! Greatness takes continuous evolution.

Formic

Automation Sales Manager

Detroit, MI · Remote

The team partners closely with Engineering, Solutions, and Customer teams to educate manufacturers ... A one-time allowance for fully remote and hybrid employees to support an at-home or on-the-road ...

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Remote Amazon Automation Engineer information

What is a Remote Amazon Automation Engineer?

A Remote Amazon Automation Engineer is a professional who designs, develops, and maintains automated systems and processes specifically for Amazon's platforms, such as Amazon Web Services (AWS) or Amazon's e-commerce infrastructure. They work remotely to ensure that repetitive tasks, data integrations, and various workflows run smoothly and efficiently, often using tools like AWS Lambda, CloudFormation, and APIs. Their work helps organizations scale their operations, reduce errors, and optimize their use of Amazon technologies. This role requires strong programming skills, experience with cloud computing, and a solid understanding of Amazon’s services and automation best practices.

What are the key skills and qualifications needed to thrive as a Remote Amazon Automation Engineer?

To thrive as a Remote Amazon Automation Engineer, you need a strong background in software engineering, scripting languages (such as Python or Java), and experience with automation frameworks, preferably with a degree in computer science or related field. Familiarity with Amazon Web Services (AWS), tools like Selenium, Jenkins, and CI/CD pipelines, as well as relevant certifications such as AWS Certified DevOps Engineer, is highly valued. Excellent problem-solving abilities, clear communication, and the ability to work independently are crucial soft skills for remote collaboration and troubleshooting. These competencies ensure efficient automation of workflows, minimize errors, and enable seamless integration and deployment in a fast-paced cloud environment.

How does a Remote Amazon Automation Engineer typically collaborate with cross-functional teams to optimize e-commerce operations?

As a Remote Amazon Automation Engineer, you'll regularly coordinate with teams such as operations, product management, and customer support to streamline and automate various Amazon processes. This often involves virtual meetings, shared project management tools, and clear documentation to ensure alignment across different time zones. Effective communication and proactive status updates are key, as you'll need to translate technical automation solutions into actionable steps for non-technical stakeholders. Collaboration also extends to troubleshooting issues, optimizing workflows based on feedback, and ensuring automation aligns with Amazon's compliance and best practices.

What is the difference between Remote Amazon Automation Engineer vs Remote Amazon Web Services (AWS) Cloud Engineer?

AspectRemote Amazon Automation EngineerRemote Amazon Web Services (AWS) Cloud Engineer
CertificationsAmazon Scripting & Automation tools, AWS certificationsAWS certifications, cloud architecture
Work EnvironmentAutomation tasks, scripting, process optimizationCloud infrastructure, deployment, and management
Employer & Industry UsageE-commerce, retail, logistics companies using Amazon platformsTech companies, startups, enterprises utilizing AWS cloud services
Search & Comparison IntentFocus on automation of Amazon-specific processesFocus on cloud infrastructure and services on AWS

The Remote Amazon Automation Engineer primarily focuses on automating Amazon platform processes using scripting and automation tools, often within e-commerce or logistics sectors. In contrast, the Remote AWS Cloud Engineer specializes in managing and deploying cloud infrastructure on AWS. Both roles require AWS certifications but differ in daily tasks and industry focus.

What are the most commonly searched types of Amazon Automation Engineer jobs in Michigan?

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Remote Amazon Automation Engineer jobs near you

Generative AI Automation Engineer - Remote Job

Allendale, MI • Remote

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

Full-time

Re-posted 22 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