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Aws Machine Learning Jobs in Wisconsin (NOW HIRING)

Autodesk

$101K - $138K/yr

... enable machine learning across research and product development. You will help build the ... Experience with cloud platforms such as AWS, Azure, or GCP * Familiarity with containers, CI/CD ...

Paradigm

Senior Applied AI Engineer

Middleton, WI · On-site

$127K - $187K/yr

In this role, you'll build the bridge between machine learning models and real-world applications ... Foundry, AWS Bedrock, or Google Vertex AI. * Working knowledge of retrieval systems, vector ...

JDA

Sr Gen AI Engineer

Waukesha, WI

$87K - $140K/yr

Experience with machine learning frameworks such as PyTorch, TensorFlow, or JAX * Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization technologies with Docker and kubernetes

Arohak Inc

$122K - $146K/yr

Snowflake, AWS, Azure, or Google Cloud Platform certifications preferred. Nice to Have * Knowledge Graphs * Graph Databases (Neo4j) * Machine Learning Operations (MLOps) * Real-time Streaming (Kafka)

FIS

Data Engineer Sr Manager, SRE

Milwaukee, WI · On-site

$56.25 - $74.75/hr

The team builds and operates the platforms that power advanced analytics, machine learning, and AI ... Own endtoend platform reliability for CDL (Azure), CDP (AWS + Astronomer + Snowflake), and EDAI ...

Worldpay, Inc.

Data Engineer Sr Manager, SRE

Milwaukee, WI · On-site

$56.25 - $74.75/hr

The team builds and operates the platforms that power advanced analytics, machine learning, and AI ... Own endtoend platform reliability for CDL (Azure), CDP (AWS + Astronomer + Snowflake), and EDAI ...

SynergisticIT

Junior Fullstack Engineer

Madison, WI

... AWS, Docker, Jenkins, Github, Kubernates and REST API's experience For data Science/Data Engineer, Data Analyst/AI/Machine learning Positions Preferred SKILLS Associate or Bachelors degree or Masters ...

Indeed

Staff ML Software Engineer

Milwaukee, WI

In this role, you will operate at the intersection of software engineering and machine learning ... Experience with AWS SageMaker or other cloud-based ML platforms. * Proficiency in software design ...

Fiserv, Inc.

Sr Data Scientist

Milwaukee, WI · On-site

... machine learning modeling experience. Prior experience must include: 4 years building and ... AWS EMR, MWAA, WMLA, Spectrum Conductor, Airflow, and MLFlow; 4 years formulating research or ...

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How much do aws machine learning jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for aws machine learning in Wisconsin is $70.72, according to ZipRecruiter salary data. Most workers in this role earn between $62.84 and $82.50 per hour, depending on experience, location, and employer.

What is an AWS Machine Learning job?

An AWS Machine Learning job involves designing, building, and deploying machine learning models using Amazon Web Services (AWS) cloud infrastructure. Professionals in this role work with services like Amazon SageMaker, AWS Lambda, and AWS Glue to develop AI-driven applications. They optimize models for scalability, integrate them into cloud-based systems, and ensure efficient data processing. Strong knowledge of machine learning algorithms, AWS architecture, and MLOps best practices is essential for success in this role.

What are the key skills and qualifications needed to thrive in the Aws Machine Learning position, and why are they important?

To thrive as an AWS Machine Learning professional, you need a strong understanding of machine learning principles, proficiency in programming languages like Python, and experience with AWS cloud services such as SageMaker. AWS Certified Machine Learning certification and familiarity with data pipelines, EC2, and Lambda are commonly required. Strong problem-solving, communication, and teamwork skills help you translate business requirements into technical solutions and collaborate effectively with diverse stakeholders. These skills are essential to efficiently deploy and manage scalable machine learning models that deliver business value in cloud-based environments.

What are some typical responsibilities for someone working in an AWS Machine Learning role?

In an AWS Machine Learning position, you'll typically design, develop, and deploy machine learning models using AWS services like SageMaker, Glue, and Lambda. Daily tasks often include data preprocessing, building and training models, and optimizing performance for production environments. You'll collaborate closely with data engineers, software developers, and business analysts to translate business needs into technical solutions. The role may also involve monitoring deployed models, managing cloud resources, and staying updated on new AWS features to ensure efficient and scalable machine learning workflows.

What are the most commonly searched types of Aws Machine Learning jobs in Wisconsin? The most popular types of Aws Machine Learning jobs in Wisconsin are:
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Aws Machine Learning jobs near you
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Menomonie, WI • Remote

Other

Posted 17 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