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Remote Oracle Cloud Engineer Jobs in Minnesota (NOW HIRING)

C. H. Robinson

Software Engineer III

Eden Prairie, MN · On-site +1

$119K - $202K/yr

Enjoy the flexibility and autonomy of a fully remote position, while still being an integral part ... Experience building cloud-native applications (e.g., Azure, AWS, GCP) * Familiarity with data ...

C. H. Robinson

Software Engineer III

Eden Prairie, MN · On-site +1

$119K - $202K/yr

Enjoy the flexibility and autonomy of a fully remote position, while still being an integral part ... Experience building cloud-native applications (e.g., Azure, AWS, GCP) * Familiarity with data ...

Tennant Company

Senior Software Engineer

Golden Valley, MN · On-site +1

$97K - $150K/yr

Build and enhance cloud-native backend services and APIs using Azure, AWS, or GCP to support ... Hands-on experience leading projects and leading local and remote teams to build, enhance, support ...

Tennant Company

Senior Software Engineer

Golden Valley, MN · On-site +1

$97K - $150K/yr

Build and enhance cloud-native backend services and APIs using Azure, AWS, or GCP to support ... Hands-on experience leading projects and leading local and remote teams to build, enhance, support ...

Motorola

$100K - $110K/yr

Envysion's cloud-based solution integrates video systems with sales data to proactively identify ... MP2 #LI-REMOTE Basic Requirements * Bachelors degree with 3+ years of software engineering ...

Leidos

Systems Engineer

Eagan, MN · Remote

Lead Systems Engineer - Agile Team Systems Engineering Leidos is seeking Lead Systems Engineers to ... cloud-based platforms designed to improve safety and operational efficiency-particularly in remote ...

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Remote Oracle Cloud Engineer information

What is the difference between Remote Oracle Cloud Engineer vs Remote Cloud Infrastructure Engineer?

AspectRemote Oracle Cloud EngineerRemote Cloud Infrastructure Engineer
CertificationsOracle Cloud certifications (OCI, Cloud Infrastructure)AWS, Azure, or multi-cloud certifications
Work EnvironmentPrimarily Oracle Cloud environments, client-specific cloud setupsVarious cloud platforms, multi-cloud or hybrid environments
Industry UsageOrganizations using Oracle Cloud solutionsOrganizations with diverse or multi-cloud infrastructure needs
Common Search IntentFocus on Oracle Cloud-specific roles and skillsBroader cloud infrastructure roles across platforms

The Remote Oracle Cloud Engineer specializes in Oracle Cloud solutions, working mainly within Oracle environments, often requiring Oracle-specific certifications. In contrast, the Remote Cloud Infrastructure Engineer covers a wider range of cloud platforms like AWS and Azure, focusing on multi-cloud or hybrid setups. Both roles involve cloud architecture, deployment, and maintenance but differ in platform expertise and industry focus.

What are popular job titles related to Remote Oracle Cloud Engineer jobs in Minnesota? For Remote Oracle Cloud Engineer jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Remote Oracle Cloud Engineer jobs in Minnesota look for? The top searched job categories for Remote Oracle Cloud Engineer jobs in Minnesota are:
Remote Oracle Cloud Engineer jobs near you

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Duluth, MN • 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