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Workflow Optimization Jobs in Muskegon, MI (NOW HIRING)

ESPEC North America, Inc

AI Specialist

Hudsonville, MI · On-site

$65K - $73K/yr

... workflows, expected outcomes, and risks associated with proposed AI use cases. • Develops and tests prompts, templates, workflows, assistants, agents, and other AI-enabled solutions under the ...

ESPEC North America Inc

AI Specialist

Hudsonville, MI · On-site

$65K - $73K/yr

... workflows, expected outcomes, and risks associated with proposed AI use cases. · Develops and tests prompts, templates, workflows, assistants, agents, and other AI-enabled solutions under the ...

Howmet

Operations Research Scientist

Whitehall, MI · On-site

Integrate optimization with ML systems - Collaborate with ML engineers to incorporate cycletime models, scraprisk models, demand forecasts, and other predictive components into optimization workflows.

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All JobsWorkflow Optimization JobsWorkflow Optimization Jobs in Muskegon, MI

Workflow Optimization information

See Muskegon, MI salary details

$36

$53

$73

How much do workflow optimization jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for workflow optimization in Muskegon, MI is $53.89, according to ZipRecruiter salary data. Most workers in this role earn between $39.09 and $66.44 per hour, depending on experience, location, and employer.

What is the difference between Workflow Optimization vs Business Analyst?

AspectWorkflow OptimizationBusiness Analyst
Required CredentialsTypically certifications in process improvement, Lean, Six SigmaOften requires a degree in business, finance, or related fields; certifications like CBAP are common
Work EnvironmentPrimarily in operations, manufacturing, or service industries focusing on process improvementIn office settings across various industries, analyzing business needs and solutions
Employer & Industry UsageUsed by companies aiming to streamline processes and increase efficiencyEmployed by organizations to analyze and improve business systems and workflows

Workflow Optimization specialists focus on analyzing and improving existing processes to enhance efficiency, often using specific methodologies like Lean or Six Sigma. Business Analysts, on the other hand, evaluate business needs, gather requirements, and recommend solutions, which may include process improvements but also encompass broader system and strategy analysis. While both roles aim to improve organizational performance, Workflow Optimization is more specialized in process enhancement, whereas Business Analysts have a wider scope including system and project analysis.

What is workflow optimization?

Workflow optimization is the process of analyzing and improving business processes to increase efficiency, reduce waste, and enhance productivity. It often involves mapping workflows, identifying bottlenecks, and implementing tools or techniques such as automation or lean principles to streamline operations. Professionals in this field may use project management software and require strong analytical skills.

What cities near Muskegon, MI are hiring for Workflow Optimization jobs?

Cities near Muskegon, MI with the most Workflow Optimization job openings:

Workflow Optimization jobs near you

Generative AI Automation Engineer - Remote Job

Allendale, MI • On-site

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

Other

Re-posted 25 days ago

Key responsibilities

  • Design, develop, and implement automation solutions powered by Generative AI models.

  • Collaborate with teams to integrate AI-driven workflows and solutions into existing systems.

  • Monitor and optimize AI automation solutions to ensure accuracy, efficiency, and reliability.

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