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Remote Business Process Modeler Jobs in Arizona (NOW HIRING)

Remote Mortgage Underwriter

Scottsdale, AZ · Remote

$22.02 - $39.93/hr

Fully Remote * Per the Business Unit: Applicants must have UW experience. Experience in Equity ... Extensive Mortgage Underwriting or Loan Processing experience. Analyze loans to make a valid ...

Experience/ability to setup/lead meetings or plan remote business events required. * Bachelor ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Senior SAP Analyst - EWM

Phoenix, AZ · Remote

$82K - $152K/yr

You will report to the EWM Global Business Process Owner - Delivery SAP S/4HANA and serve as a ... External candidates can work remote, as long as you are within a reasonable driving distance of a ...

IT Project Manager

Scottsdale, AZ · On-site +1

$99K - $117K/yr

Scottsdale, AZ Remote: Hybrid Contact: Brian Merin; ; Must have a PMP Agile/Scrum preferred Ecommerce preferred Business process improvement experience preferred. By providing your phone number, you ...

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Showing results 1-20

Remote Business Process Modeler information

What is the difference between Remote Business Process Modeler vs Business Analyst?

AspectRemote Business Process ModelerBusiness Analyst
CredentialsProcess modeling certifications, BPMN knowledgeBusiness analysis certifications (CBAP, CCBA), analytical skills
Work EnvironmentRemote, process modeling tools, collaboration platformsRemote or on-site, stakeholder communication, documentation
Industry UsageBusiness process improvement, automation projectsRequirements gathering, project analysis, solution design

The Remote Business Process Modeler focuses on creating visual representations of business processes using modeling tools, often working closely with IT and operations teams. Business Analysts gather requirements, analyze business needs, and communicate solutions. While both roles may work remotely and require analytical skills, the Modeler specializes in process visualization, whereas the Analyst handles broader business analysis tasks.

What are popular job titles related to Remote Business Process Modeler jobs in Arizona? For Remote Business Process Modeler jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Remote Business Process Modeler jobs in Arizona look for? The top searched job categories for Remote Business Process Modeler jobs in Arizona are:
What cities in Arizona are hiring for Remote Business Process Modeler jobs? Cities in Arizona with the most Remote Business Process Modeler job openings:
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Glendale, AZ • Remote

Other

Posted 25 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.