Explore 3 python cloud platform developer jobs from 3 hiring companies in Oregon, WI, US. Filter by remote, salary, experience, and company, then open any listing to apply.

python-cloud-platform-developer

Python Cloud Platform Developer

Fitchburg

Madison

Stoughton

Verona

Middleton

McFarland

Monona

Sun Prairie

Waunakee

Janesville

Cottage Grove

Beloit

Rutland

Evansville

Fort Atkinson

Whitewater

Monroe

Watertown

Rockford

Python Cloud Platform Developer Jobs

Exact Sciences

OrthoIllinois

State of Wisconsin Investment Board

Hybrid

Onsite

Remote

Swib

Sophisticated Work. In a Great City. Making a Difference.The State of Wisconsin Investment Board (SWIB) manages more than $178 billion in assets, including those of the fully-funded Wisconsin Retirement System (WRS). SWIB operates at a level more often seen in top-tier global asset managers than in typical public pension funds. SWIB is a home for top talent. Approximately 61 percent of SWIB’s investment professionals are Chartered Financial Analyst (CFA) charterholders. The City of Madison, the state capitol and home of Wisconsin’s flagship university, makes regular appearances on lists of best places to live, eat, and play. SWIB offers a modern workspace, hybrid work options, and competitive compensation and benefits. Serving over 703,000 WRS beneficiaries, SWIB is driven by a clear mission: securing the financial future of those who serve Wisconsin. When you work at SWIB, you know your work matters.Job Description:<div><div>Job Description</div></div><div><div><div><div><div><div><div><div><div>Applicants on an OPT, CPT visa or anyone requiring H-1B transfers or sponsorship into the H-1B lottery will not be considered for this position.</div></div></div></div></div></div></div></div></div>What You’ll Do<ul><li>Design, build, and maintain production-grade APIs and system integrations that support critical workflows</li><li>Own the end-to-end lifecycle of services and applications, from design and implementation through deployment, monitoring, and iteration</li><li>Build automated, cloud-native workflows, including thoughtful use of AI capabilities where they provide clear business value</li><li>Contribute to user-facing interfaces that make complex workflows understandable and efficient for end users</li><li>Design and manage data models and persistence layers, including schema design, performance tuning, and troubleshooting</li><li>Deploy and operate applications in cloud environments using best practices for security, reliability, observability, and cost awareness</li><li>Apply AI pragmatically — both as a development accelerator and, where appropriate, as part of production systems (e.g., LLMs, vector search, NLP APIs)</li><li>Participate actively in code reviews, design discussions, and technical decision-making, raising the quality bar for the team</li><li>Mentor and support less-experienced engineers through pairing, reviews, and knowledge sharing</li><li>Collaborate closely with technical and non-technical partners to translate business needs into clear, maintainable technical solutions</li><li>Contribute to the evolution of engineering standards, patterns, and tooling within the team and broader organization</li></ul>What You Bring<ul><li>Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience</li><li>5&#43; years of professional software development experience (or equivalent demonstrated impact)</li><li>Strong proficiency in Python, with experience building and maintaining production-grade systems</li><li>Solid experience working with databases (SQL and/or NoSQL), including data modeling and performance considerations</li><li>Hands-on experience with cloud platforms such as Azure, AWS, or GCP</li><li>Proven experience designing, building, and delivering end-to-end software systems in real world production environments</li><li>Familiarity in finance and in financial systems (e.g., financial data, instruments, reporting, or workflows), and interest in applying technology in this domain</li><li>Experience with or strong interest in AI technologies, such as LLMs, vector databases, or NLP APIs</li><li>Sound technical judgment and the ability to balance delivery speed, quality, and long-term maintainability</li><li>Strong communication skills and a collaborative, team-oriented mindset</li></ul>What You’ll Gain<ul><li>Ownership of meaningful, high-impact systems used across the organization</li><li>Opportunities to influence architecture, technical standards, and engineering practices</li><li>Hands-on work with modern cloud and AI technologies in real-world production use cases</li><li>Close partnership with stakeholders across engineering, data, and business teams</li></ul><div></div><div>SWIB Offers:</div><div></div><ul><li>Competitive total cash compensation, based on AON (formerly McLagan) industry benchmarks</li><li>Comprehensive benefits package</li><li>Educational and training opportunities</li><li>Tuition reimbursement</li><li>Challenging work in a professional environment</li><li>Hybrid work environment</li></ul><div></div><div>The position requires U.S. work authorization.</div><div></div><div>Pursuant to our Hybrid Remote Work Policy, all staff have the flexibility to work remotely, but are required to have a weekly presence in our offices, the frequency of which is dependent on their distance from office. Staff are not required to reside locally; however, we offer relocation reimbursement to the Dane County area per our policy.</div><div></div><div>All SWIB employees are subject to SWIB’s Ethics Policy and Personal Trade Approvals Policy. These policies include restrictions on outside business activities and employment and have limits on personal trading. You may request copies of these policies from SWIB’s talent acquisition team and any questions can be answered by SWIB’s compliance team.</div>

Senior Software Engineer

5+ years of software development; strong Python; SQL/NoSQL databases; cloud platforms (Azure/AWS/GCP); finance domain familiarity; AI/NLP/LLMs; strong collaboration.

Job Purpose:
The AI Engineer is responsible for developing, deploying, and managing artificial intelligence services across the organization, including local LLM infrastructure, agentic agents, Microsoft 365 Copilot solutions, and AI integrations with EMR and third-party vendor systems to enhance clinical workflows and operational efficiency.
Primary Duties and Responsibilities:
Local LLM Infrastructure Management
• Manage and optimize Open WebUI and Ollama deployment running on Nvidia GPUs in Proxmox LXC/Docker environment
• Configure and customize local LLM models for healthcare use cases ensuring HIPAA-compliant on-premises processing
• Monitor performance, manage model updates, and troubleshoot infrastructure issues
AI Agent Development & Deployment
• Build agentic agents and autonomous systems using both local (Ollama) and cloud-based LLMs
• Develop custom agents using Open WebUI for secure, on-premises patient data processing
• Create RAG (Retrieval-Augmented Generation) systems integrating local knowledge bases
• Design and implement custom Modelfiles for specialized healthcare tasks
• Implement Model Context Protocol (MCP) for standardized AI agent integration with enterprise systems
• Utilize Visual Studio Code with LLM integration extensions for AI-assisted development workflows
Microsoft 365 Integration
• Deploy and manage Copilot agents within M365 environment
• Build and configure solutions using Copilot Studio for custom AI experiences
• Integrate Copilot Studio with SharePoint, Teams, Exchange, and other Microsoft 365 services
• Configure custom actions, connectors, and data grounding
• Balance cloud-based M365 AI with on-premises local LLM capabilities
EMR & Vendor System Integration
• Coordinate AI deployment into EMR/EHR systems using HL7 FHIR standards
• Build secure pipelines between local Ollama models and clinical systems
• Partner with EMR vendors and third-party providers for AI implementations
• Develop custom integrations leveraging both local and vendor AI solutions
Security & Compliance
• Ensure HIPAA compliance for all AI implementations, especially local PHI processing
• Implement security controls for on-premises LLM systems to protect patient data
• Conduct risk assessments and maintain safety documentation
• Establish governance for local versus cloud AI data handling
 
Competencies:
• Service: We align our actions and decision making with the organization’s guiding platform keeping our patients at the center of all we do.
• Change Agent: We support and contribute to positive change in the organization.
• Communication and Interpersonal Relations: We communicate honestly and with compassion to build connections with our patients and each other.
• Effectiveness: We take ownership of work, doing the right thing for our customer and doing it well.
Organizational Culture:
All OrthoIllinois employees focus on service by putting the mission, vision, and value statements into practice and using the guiding principles of Compassion, Respect, Trust, Integrity, Innovation, Education Fiscal Responsibility, Practice Independence, Accountability, and Empowerment to direct their interactions and decision making.  Employees promote and model the service standards to create lasting impressions, extraordinary moments, exceptional on-stage experiences, and meaningful and compassionate connections.    
Education and Experience Requirements:
• At least two to four years of experience in AI/ML engineering or similar position and/or performing similar tasks
• Strong proficiency in Python programming for LLM integration, APIs, and automation
• Advanced working knowledge of Microsoft 365 and Google Suites
• Advanced working knowledge of cloud platforms (Azure preferred, AWS, or GCP)
• Working knowledge of:
• Ollama: model management, customization, quantization, and deployment
• Open WebUI: configuration, customization, and user interface development
• Docker and container orchestration (Docker, Kubernetes)
• Local LLM deployment and management (Ollama, llama.cpp, or similar)
• Model quantization, fine-tuning, and prompt engineering
• RAG systems, vector databases, and LLM orchestration
• Model Context Protocol (MCP): implementation for secure AI agent integration with enterprise systems
• Visual Studio Code: including LLM integration extensions and AI-assisted development tools
• Microsoft 365 Copilot and Copilot Studio: building custom AI agents and conversational experiences
• API development and microservices architecture
• EMR/EHR systems and healthcare interoperability (HL7 FHIR)
• HIPAA requirements and PHI handling
Preferred:
• Bachelor’s degree in computer science, Data Science, or related field from a four-year college or university
• Previous healthcare AI implementations
• Experience managing on-premises GPU infrastructure
• Portfolio demonstrating Ollama/local LLM projects
• Knowledge of TensorFlow, PyTorch, or similar ML frameworks
• Understanding of hybrid cloud/on-premises architectures
• Working knowledge of Proxmox, LXC containers, and GPU passthrough
• Working knowledge of Nvidia GPU optimization: CUDA, memory management for LLM workloads
• Working knowledge of Linux system administration
 
Environmental/Working Conditions: 
Working environment is in an office/clinic setting. Requires consistent work outside of normal business hours, including evenings and weekends.
 
Physical/Mental Demands:  
• Sit, stand, walk, stoop or kneel, crouch or crawl, and climb stairs for long periods of time
• Requires lifting, carrying and/or moving objects in a manner consistent with most office environments (generally, no more than 10 pounds on a frequent basis and 20 pounds on an occasional basis)
• Possess full range of motion in shoulders and arms, including reaching above or below the shoulder
• Finger dexterity; the ability to twist hands/wrists repetitively
• Vision (e.g., depth perception, color vision, strong vision up close), hearing (e.g., high pitch sounds, soft or distant sounds)
 
This description is intended to provide only basic guidelines for meeting job requirements.  Responsibilities, knowledge, skills, abilities and working conditions may change as needs evolve.

AI Engineer

2-4 years AI/ML engineering; Python; cloud platforms; on-prem LLMs; HIPAA compliance; Docker; ML frameworks; HL7 FHIR.

Help us change livesAt Exact Sciences, we’re helping change how the world prevents, detects and guides treatment for cancer. We give patients and clinicians the clarity needed to make confident decisions when they matter most. Join our team to find a purpose-driven career, an inclusive culture, and robust benefits to support your life while you’re working to help others.Position OverviewThe Sr. Engineer, Machine Learning Operations, with minimal guidance, works independently and with cross‑functional partners—including biostatisticians, bioinformatics scientists, AI scientists, and software engineers—to deploy, operate, and scale machine learning solutions in production for advanced cancer screening and precision oncology applications. The role designs, builds, and maintains robust ML platforms and pipelines that ensure reliability, security, and compliance across the full model lifecycle—from data ingestion, model training, versioning and evaluation, through deployment, monitoring, and continuous improvement. This role serves as a key resource, applying in‑depth practical knowledge of ML Operations, software engineering, and cloud infrastructure to solve complex problems across multiple projects, ensuring AI/ML models are production-ready, observable, and aligned with the company&#39;s mission to help eradicate cancer.Essential DutiesInclude, but are not limited to, the following:<ul><li>Designs, implements, and maintains end‑to‑end MLOps pipelines for training, validation, deployment, and monitoring of ML and AI models used in cancer screening and precision oncology solutions.</li><li>Builds and operates scalable, secure ML infrastructure on cloud and container platforms (e.g., AWS/Azure/GCP, Docker, Kubernetes) to support batch and real‑time inference workloads.</li><li>Implements CI/CD workflows for ML (data, model, and code), including automated testing, packaging, and promotion of models across development, staging, and production environments.</li><li>Establishes and manages model and data versioning, experiment tracking, and lineage to ensure reproducibility, auditability, and effective model governance.</li><li>Develops and maintains monitoring, logging, and alerting for model performance, data quality, drift, and system health, defining and meeting SLOs/SLAs for critical ML services.</li><li>Collaborates with data scientists, bioinformatics and biostatistics partners, and software/platform engineering teams to translate experimental workflows into production‑grade services integrated into customer‑facing and internal applications.</li><li>Uphold company mission and values through accountability, innovation, integrity, quality, and teamwork.</li><li>Support and comply with the company’s Quality Management System policies and procedures.</li><li>Maintain regular and reliable attendance.</li><li>Ability to act with an inclusion mindset and model these behaviors for the organization.</li><li>Ability to work on a mobile device, tablet, or in front of a computer screen and/or perform typing for approximately 90% of a typical working day.</li><li>Ability to travel 5% of working time away from work location, may include overnight/weekend travel.</li></ul>Minimum Qualifications<ul><li>Bachelor’s Degree in a field related to essential duties; or Associates Degree and 2 years of relevant experience.; or High School Diploma or General Education Degree (GED) and 4 years of relevant experience.</li><li>5 years of relevant job-related experience.</li><li>Demonstrated experience with Python, at least one major ML framework (e.g., TensorFlow, PyTorch, scikit‑learn), containerization and orchestration technologies (e.g., Docker, Kubernetes), and a major cloud platform (e.g., AWS, Azure, GCP) supporting ML workloads.</li><li>Demonstrated ability to perform the essential duties of the position with or without accommodation.</li><li>Applicants must be currently authorized to work in country where work will be performed on a full or part-time basis. We are unable to sponsor or take over sponsorship of employment visas at this time. </li></ul>Preferred Qualifications<ul><li>2&#43; years of life sciences industry experience working with biological data.</li><li>2&#43; years of industry experience in molecular diagnostics, preferably cancer diagnostics.</li><li>Expertise in data mining approaches within healthcare settings generating insight from routinely collected healthcare data.</li><li>Scientific understanding of cancer biology</li><li>Strong programming ability in Python and experience with at least one major ML framework (e.g., TensorFlow, PyTorch, scikit-learn).</li><li>Hands-on experience deploying and operating machine learning models in production, including experience with CI/CD pipelines, model packaging, and automated deployment.</li></ul>#LI-CB1Salary Range:National Ranges: $ 123,000.00 - $209,000.00California Ranges: $152,000.00- $228,000.00 The annual base salary shown is a national range for this position on a full-time basis and may differ by hiring location. In addition, this position is bonus eligible. Exact Sciences is proud to offer an employee experience that includes paid time off (including days for vacation, holidays, volunteering, and personal time), paid leave for parents and caregivers, a retirement savings plan, wellness support, and health benefits including medical, prescription drug, dental, and vision coverage. Learn more about our <a href="https://careers.exactsciences.com/benefits" target="_blank">benefits</a>.Our success relies on the experiences and perspectives of a diverse team, and Exact Sciences fosters a culture where all employees can develop personally and professionally with a sense of respect and belonging. If you require an accommodation, please contact us <a href="mailto:neo&#64;exactsciences.com?subject&#61;Exact%20Sciences%20Recruiting" target="_blank">here</a>.Not ready to apply? Join our <a href="http://exactsciences.wd1.myworkdayjobs.com/en-US/Exact_Sciences/introduceYourself" target="_blank">Talent Community</a> to stay updated on the latest news and opportunities at Exact Sciences.We are an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to disability, protected veteran status, and any other status protected by applicable local, state, or federal law.To view the Right to Work, E-Verify Employer, and Pay Transparency notices and Federal, Federal Contractor, and State employment law posters, visit our <a href="https://exactsciences.box.com/s/gj6pxvld7g6rnhvum3cttfdevppp34s2" target="_blank">compliance hub</a>. The documents summarize important details of the law and provide key points that you have a right to know.

Sr. Engineer, Machine Learning Operations

Senior Engineer, Machine Learning Operations

Design, deploy, and operate ML platforms; strong Python, ML frameworks, cloud, containers; 5+ years; travel; degree or equivalent.

Python Cloud Platform Developer Jobs in Oregon, WI, US | HiringCafe: every job on earth

Python Cloud Platform Developer Jobs in Oregon, WI, US

Python Cloud Platform Developer Jobs market signals in Oregon, WI, US

Companies appearing in this market

Work location mix in visible results