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Remote Aws Python Developer Jobs in Michigan (NOW HIRING)

Corning

Support the development of Python-based applications, APIs, JSON integrations, model-connected ... Cloud experience with Azure, AWS, or GCP.Experience defining reusable architecture patterns ...

Corning

$111K - $146K/yr

Develop Python-based solutions and work with APIs, JSON payloads, model integrations, and LLM ... Cloud experience with Azure, AWS, or GCP. Experience mentoring junior engineers or helping define ...

PROLIM Global Corporation

Cloud Engineer

Farmington Hills, MI · On-site +1

$54.75 - $73.25/hr

This position is ideal for a candidate with a strong background in AWS cloud administration, Linux ... Bash, or Python • Collaborate with cross-functional teams to design scalable and secure ...

Birdi

Security Engineer

Plymouth, MI · Remote

Remote Employment: Full Time Location: US Seniority: Mid Level Technologies: Snyk, Dependabot, AWS, EDR, SSO, RBAC, MFA, SBOM, CI/CD, OWASP Requirements: Security engineering with SIEM/IAM, SOC 2 ...

Arbor Research

Cloud Data Architect

Ann Arbor, MI · On-site +1

$107K - $176K/yr

Design and build AWS-based data platforms, including data lakes and analytics environments using ... Collaborate with analysts, developers, and project managers to support analytic workloads in Python ...

Canopy

Senior Machine Learning Engineer

Detroit, MI · On-site +1

$126K - $180K/yr

Expertise in Python with extensive experience in at least one deep learning framework (PyTorch or ... Experience using cloud computing platforms, e.g., AWS or GCP. * Experience with MATLAB for ...

Utilidata

Senior Software Engineer, DevOps

Ann Arbor, MI · On-site +1

$160K - $190K/yr

Design, implement, and maintain scalable and reliable systems on AWS and/or on-premise * Utilize ... remote work. Our Commitments: Utilidata values the diversity of our team. We provide equal ...

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Remote Aws Python Developer information

What is a remote AWS Python developer?

A Remote AWS Python Developer is a software engineer who specializes in building, deploying, and maintaining applications using the Python programming language on Amazon Web Services (AWS) cloud infrastructure. They typically work remotely, collaborating with teams online to develop cloud-based solutions, automate processes, and ensure scalability and security. Their responsibilities often include writing serverless applications, integrating AWS services like Lambda, S3, and DynamoDB, and optimizing cloud workloads. Proficiency in both Python and AWS is essential for this role.

What is the difference between Remote Aws Python Developer vs Remote Cloud Engineer?

AspectRemote Aws Python DeveloperRemote Cloud Engineer
Required SkillsPython, AWS, Linux, APIsCloud platforms (AWS, Azure, GCP), scripting, automation
CertificationsAWS Certified Developer, Python certificationsAWS Certified Solutions Architect, Cloud certifications
Work EnvironmentRemote, software development teamsRemote, infrastructure and deployment teams
Industry UsageTech, startups, SaaS companiesTech, finance, healthcare, enterprise

Remote Aws Python Developers focus on coding, AWS services, and integrating Python applications, while Remote Cloud Engineers handle broader cloud infrastructure, deployment, and automation across multiple platforms. Both roles often work remotely and require cloud certifications, but their core responsibilities differ in scope and focus.

How do remote AWS Python developers typically collaborate with distributed teams to ensure project success?

Remote AWS Python Developers frequently work with cross-functional teams spread across different locations. Collaboration is often managed through tools such as Slack, Jira, and GitHub, which help coordinate code reviews, issue tracking, and deployments. Regular video meetings and asynchronous communication are key to staying aligned on project goals and addressing blockers quickly. Developers are encouraged to document their code and share updates proactively to maintain transparency and foster effective teamwork.

What are the key skills and qualifications needed to thrive as a remote AWS Python developer?

To thrive as a Remote AWS Python Developer, you need strong proficiency in Python programming, a solid understanding of cloud computing concepts, and experience with AWS services, often supported by a degree in computer science or a related field. Familiarity with tools such as AWS Lambda, EC2, S3, CloudFormation, and CI/CD pipelines, as well as relevant AWS certifications, is typically expected. Excellent problem-solving, self-motivation, and clear communication skills help you collaborate effectively in a distributed team environment. These abilities ensure you can design, deploy, and maintain scalable cloud solutions efficiently and reliably while working remotely.
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Remote Aws Python Developer jobs near you

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Rochester Hills, MI • Remote

Full-time

Re-posted 16 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