Explore 4 python cloud platform developer jobs from 3 hiring companies in Grand Ronde, OR, US. Filter by remote, salary, experience, and company, then open any listing to apply.

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Python Cloud Platform Developer

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Python Cloud Platform Developer Jobs

Ralliant

A-dec

Workday

Hybrid

Job Summary:&nbsp;Ralliant is seeking an experienced&nbsp;Platform Engineer&nbsp;to design, build, and operate scalable, automated infrastructure platforms supporting both commercial and CMMC Level 2 environments. This role will focus on infrastructure as code, CI/CD pipelines, and platform services that enable engineering teams to deploy and operate efficiently.This role is part of a broader platform transformation focused on standardization, automation, and secure-by-design infrastructure.&nbsp;Responsibilities:&nbsp;<ul style="list-style-type:disc;"><li>Design, develop, and maintain Infrastructure as Code (IaC) using Terraform or similar tools</li><li>Design and operate CI/CD pipelines supporting infrastructure and platform services</li><li>Implement and maintain Policy as Code (PaC) to enforce security and compliance standards</li><li>Design and support multi-account cloud environments and landing zones</li><li>Contribute to the development of reusable platform modules, standards, and reference architectures</li><li style="line-height:normal;tab-stops:list .5in;">Automate provisioning, configuration, and lifecycle management of infrastructure</li><li style="line-height:normal;tab-stops:list .5in;">Collaborate with Security and Architecture teams to enforce CMMC-aligned controls</li><li style="line-height:normal;tab-stops:list .5in;">Improve platform reliability through automation, standardization, and self-service capabilities</li><li style="line-height:normal;tab-stops:list .5in;">Support integration of identity, logging, and monitoring services across environments</li><li style="line-height:normal;tab-stops:list .5in;">4+ years in cloud engineering, DevOps, or platform engineering roles</li><li style="line-height:normal;tab-stops:list .5in;">Strong experience with AWS and cloud-native services</li><li style="line-height:normal;tab-stops:list .5in;">Experience working in a DevOps or platform engineering operating model</li><li style="line-height:normal;tab-stops:list .5in;">Hands-on experience with Terraform or similar IaC tools</li><li style="line-height:normal;tab-stops:list .5in;">Experience building CI/CD pipelines (Git-based workflows preferred)</li><li style="line-height:normal;tab-stops:list .5in;">Understanding of infrastructure security principles and experience working within regulated or compliance-driven environments</li><li style="line-height:normal;tab-stops:list .5in;">Strong scripting skills (Python, Bash, or similar)</li></ul>Required Qualifications:<ul style="list-style-type:disc;"><li style="line-height:normal;tab-stops:list .5in;">4+ years in cloud engineering, DevOps, or platform engineering roles</li><li style="line-height:normal;tab-stops:list .5in;">Strong experience with AWS and cloud-native services</li><li style="line-height:normal;tab-stops:list .5in;">Experience working in a DevOps or platform engineering operating model</li><li style="line-height:normal;tab-stops:list .5in;">Hands-on experience with Terraform or similar IaC tools</li><li style="line-height:normal;tab-stops:list .5in;">Experience building CI/CD pipelines (Git-based workflows preferred)</li><li style="line-height:normal;tab-stops:list .5in;">Understanding of infrastructure security principles and experience working within regulated or compliance-driven environments</li><li style="line-height:normal;tab-stops:list .5in;">Strong scripting skills (Python, Bash, or similar)</li></ul>Preferred Qualifications<ul style="list-style-type:disc;"><li style="line-height:normal;tab-stops:list .5in;">Experience integrating cloud automation with ServiceNow</li><li style="line-height:normal;tab-stops:list .5in;">Experience in regulated environments (CMMC, ITAR, SOC2, etc.)</li><li style="line-height:normal;tab-stops:list .5in;">FinOps awareness and cost optimization design experience</li><li style="line-height:normal;tab-stops:list .5in;">Multi-cloud design experience (AWS, Azure, OCI)&nbsp;</li><li style="line-height:normal;tab-stops:list .5in;">Familiarity with container platforms and Kubernetes</li><li style="line-height:normal;tab-stops:list .5in;">Experience implementing observability practices, including logging, monitoring, and alerting for distributed systems</li><li style="line-height:normal;tab-stops:list .5in;">Strong ownership mindset with a bias toward automation and continuous improvement</li><li style="line-height:normal;tab-stops:list .5in;">Ability to operate in ambiguous environments and drive solutions to completion</li><li style="line-height:normal;tab-stops:list .5in;">Collaborative approach across platform, security, and application teams</li><li style="line-height:normal;tab-stops:list .5in;">Strong problem-solving and troubleshooting skills in complex environments</li><li style="line-height:normal;tab-stops:list .5in;">Effective communication with both technical and non-technical stakeholders</li></ul>Core Competencies<ul style="list-style-type:disc;"><li style="line-height:normal;tab-stops:list .5in;">Strong ownership mindset with a bias toward automation and continuous improvement</li><li style="line-height:normal;tab-stops:list .5in;">Ability to operate in ambiguous environments and drive solutions to completion</li><li style="line-height:normal;tab-stops:list .5in;">Collaborative approach across platform, security, and application teams</li><li style="line-height:normal;tab-stops:list .5in;">Strong problem-solving and troubleshooting skills in complex environments</li><li style="line-height:normal;tab-stops:list .5in;">Effective communication with both technical and non-technical stakeholders</li></ul>#LI-JW2<h3>About Company</h3><div><div>
 About Ralliant&nbsp;
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 Ralliant, originally part of Fortive, now stands as a bold, independent public company driving innovation at the forefront of precision technology. With a global footprint and a legacy of excellence, we empower engineers to bring next-generation breakthroughs to life — faster, smarter, and more reliably. Our high-performance instruments, sensors, and subsystems fuel mission-critical advancements across industries, enabling real-world impact where it matters most. At Ralliant we’re building the future, together with those driven to push boundaries, solve complex problems, and leave a lasting mark on the world.&nbsp;
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 We Are an Equal Opportunity Employer
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 Ralliant Corporation and all Ralliant Companies are proud to be equal opportunity employers. We value and encourage diversity and solicit applications from all qualified applicants without regard to race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity or expression, or other characteristics protected by law. Ralliant and all Ralliant Companies are also committed to providing reasonable accommodations for applicants with disabilities. Individuals who need a reasonable accommodation because of a disability for any part of the employment application process, please contact us at applyassistance@Ralliant.com.
</div></div><h2>Company</h2><div>Ralliant Corporation Overview

Ralliant, originally part of Fortive, now stands as a bold, independent public company driving innovation at the forefront of precision technology. With a global footprint and a legacy of excellence, we empower engineers to bring next-generation breakthroughs to life — faster, smarter, and more reliably. Our high-performance instruments, sensors, and subsystems fuel mission-critical advancements across industries, enabling real-world impact where it matters most. At Ralliant we’re building the future, together with those driven to push boundaries, solve complex problems, and leave a lasting mark on the world.</div>

Platform Engineer

4+ years in cloud engineering/DevOps/platform engineering; AWS experience; Terraform; CI/CD; security/compliance; scripting.

Tektronix - Level 3

Job Summary:&nbsp;We are seeking a Principal Platform Engineer to design, build, and implement scalable, secure infrastructure solutions across commercial and CMMC Level 2 environments. This is a highly hands-on role focused on solving complex infrastructure challenges, developing reusable platform capabilities, and driving automation across cloud and hybrid environments at scale.This role is ideal for engineers who prefer building and solving complex problems over producing static architecture artifacts.&nbsp;Responsibilities:&nbsp;<ul style="padding-left:48px;"><li>Design and implement scalable infrastructure solutions across AWS, on-prem, and hybrid environments</li><li>Build and maintain reusable Infrastructure as Code (IaC) modules and platform components</li><li>Develop and enforce secure-by-design solutions aligned to CMMC Level 2 and enterprise security requirements</li><li>Partner with Security Architecture and GRC to translate security and compliance requirements into implementable controls</li><li>Lead the implementation of network segmentation, identity integration, logging, and monitoring solutions</li><li>Drive adoption of automation-first practices, including CI/CD pipelines and Policy as Code (PaC)</li><li>Solve complex platform and infrastructure challenges through hands-on engineering and rapid iteration</li><li>Contribute to and refine platform standards, patterns, and reference implementations through working code</li><li>Support and mentor engineering teams on best practices for infrastructure, automation, and platform design</li><li>Evaluate and integrate new technologies (including AI-enabled platforms) with a focus on practical implementation and risk alignment</li></ul>Required Qualifications:<ul style="padding-left:48px;"><li>8+ years in cloud engineering, platform engineering, or infrastructure roles</li><li>Strong hands-on experience designing and building in AWS (multi-account environments preferred)</li><li>Deep experience with Terraform or similar IaC tools</li><li>Strong understanding of networking, identity, and security implementation</li><li>Experience implementing solutions in regulated or compliance-driven environments (CMMC, NIST, etc.)</li><li>Experience building and integrating CI/CD pipelines for infrastructure</li><li>Strong scripting or programming skills (Python, Bash, or similar)</li><li>Proven ability to take solutions from design through implementation and operation</li></ul>Preferred Qualifications<ul style="padding-left:48px;"><li>Experience in hybrid environments (on-prem + cloud)</li><li>Familiarity with DevOps and platform engineering operating models</li><li>Experience implementing zero trust or modern security architectures</li><li>Experience integrating infrastructure platforms with enterprise systems (e.g., identity providers, ITSM, monitoring)</li><li>Exposure to container platforms and Kubernetes</li></ul>Core Competencies<ul style="list-style-type:disc;"><li style="line-height:normal;tab-stops:list .5in;">Systems thinking and platform design mindset</li><li style="line-height:normal;tab-stops:list .5in;">Ability to balance long-term architecture with practical delivery</li><li style="line-height:normal;tab-stops:list .5in;">Strong written and verbal executive communication</li><li style="line-height:normal;tab-stops:list .5in;">Player-coach mentality: willing to design and build</li><li style="line-height:normal;tab-stops:list .5in;">High ownership and bias for automation</li></ul>#LI-JW2<h3>About Company</h3><div><div>
 About Ralliant&nbsp;
</div>
<div>
 
</div>
<div>
 Ralliant, originally part of Fortive, now stands as a bold, independent public company driving innovation at the forefront of precision technology. With a global footprint and a legacy of excellence, we empower engineers to bring next-generation breakthroughs to life — faster, smarter, and more reliably. Our high-performance instruments, sensors, and subsystems fuel mission-critical advancements across industries, enabling real-world impact where it matters most. At Ralliant we’re building the future, together with those driven to push boundaries, solve complex problems, and leave a lasting mark on the world.&nbsp;
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 We Are an Equal Opportunity Employer
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<div>
 Ralliant Corporation and all Ralliant Companies are proud to be equal opportunity employers. We value and encourage diversity and solicit applications from all qualified applicants without regard to race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity or expression, or other characteristics protected by law. Ralliant and all Ralliant Companies are also committed to providing reasonable accommodations for applicants with disabilities. Individuals who need a reasonable accommodation because of a disability for any part of the employment application process, please contact us at applyassistance@Ralliant.com.
</div></div><h2>Company</h2><div>Ralliant Corporation Overview

Ralliant, originally part of Fortive, now stands as a bold, independent public company driving innovation at the forefront of precision technology. With a global footprint and a legacy of excellence, we empower engineers to bring next-generation breakthroughs to life — faster, smarter, and more reliably. Our high-performance instruments, sensors, and subsystems fuel mission-critical advancements across industries, enabling real-world impact where it matters most. At Ralliant we’re building the future, together with those driven to push boundaries, solve complex problems, and leave a lasting mark on the world.</div>

Principal Platform Engineer

8+ years cloud/platform/infrastructure engineering; strong AWS and Terraform; security/compliance (CMMC/NIST); CI/CD; scripting; hands-on design/implementation.

Your work days are brighter here.We’re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we’re shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you’ll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We’re in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you&#39;re building smarter solutions, supporting customers, or creating a space where everyone belongs, you’ll do meaningful work with Workmates who’ve got your back. In return, we’ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you’ve found a match in Workday, and we hope to be a match for you too.About the TeamThis is a very exciting opening in the AI Platform team in our Agent Optimization &amp; Evaluation, and Information Retrieval team.. We are the Optimization and "Ground Truth" engine for Workday’s AI transformation, building the critical infrastructure that empowers over 65% of the Fortune 500. Our mission is two-fold: 1. Agent Optimization &amp; Evaluation: Providing the algorithms and rigorous data-driven frameworks to validate, scale, and optimize AI agents across our entire enterprise suite. 2. Information Retrieval: Developing the intelligence layer that bridges human language and enterprise data through advanced semantic search and natural language-to-code (SQL/Python) execution. Why Join Us? 1. The Data &amp; Frontier: Solve unique challenges in Agentic AI using exclusive, high-integrity enterprise datasets. 2. Impact at Scale: Your work acts as the optimizer and gatekeeper of quality for products reaching 31 million users globally. 3. People-First Culture: We balance high-intensity innovation with a commitment to sustainable work-life integration. We are looking for creative, results-focused ML Engineers and Senior ML Engineers to help us build the next generation of "AI-first" products.About the RoleWe are seeking pragmatic ML and Senior ML Engineers to drive the applied research, deployment, and optimization of our Agentic AI, Search, and Semantic Parsing products. In this role, you will bridge the gap between deep research and production, embedding cutting-edge agents directly into the Workday ecosystem. Leveraging our vast computing power and exclusive datasets, you will solve complex technical challenges to deliver transformative value to millions of users. If you are ready to apply creative problem-solving to global-scale ML systems, we want to hear from you.In this role, you would:<ul><li>Architect Agentic AI: Design and deploy sophisticated reasoning, planning, and swarm agents that interact seamlessly with enterprise data and support continuous, life-long learning.</li><li>Drive Meta-ML &amp; Optimization: Develop algorithms for automated node-level optimization within agent graphs, identifying the best LLM and prompt configurations for every workflow step. Build recommender systems for engineering teams to drive optimal evaluation for their agents.</li><li>Advance Information Retrieval: Build hybrid, agentic search systems and semantic parsing products (Text-to-SQL/Python) utilizing vector search, reasoning, and fine-tuning for structured output.</li><li>Scale Evaluation &amp; Observability: Engineer cloud-based pipelines (Kubeflow) and A/B testing frameworks for rigorous offline/online evaluation, failure attribution, and safety monitoring.</li><li>Lead the ML Lifecycle: Own the end-to-end MLOps process—from exploration and prompt engineering to scalable production deployment—ensuring high-quality, reliable performance.</li><li>Define Strategic Roadmaps: Independently identify ML opportunities, propose high-impact solutions to leadership, and integrate industry best practices across the organization.</li><li>Collaborate with Autonomy: Work cross-functionally with PMs and Engineers to deliver &#34;AI-first&#34; products, enjoying full ownership of your work within a supportive, growth-oriented culture.</li></ul>About YouBasic Qualifications (MLE III)<ul><li>Deep Technical ML Capability: 3&#43; years of experience researching, developing and deploying production-grade ML systems, including expertise in deep learning, NLP,  Information Retrieval, and recommender systems using frameworks like PyTorch or TensorFlow.</li><li>Generative AI &amp; Agentic Systems: Proven track record of building and evaluating LLM-powered products, including expertise in RAG architectures, agentic frameworks (e.g., LangChain/LangGraph), and long-context LLM applications (e.g., Text-to-SQL).</li><li>Engineering Excellence: Expert-level Python skills with a focus on modular library design, asynchronous patterns, and scalable system architecture (state management/error handling) for non-deterministic AI outputs.</li><li>Production MLOps: Hands-on experience with the full ML lifecycle, including model fine-tuning (PEFT), evaluation frameworks (e.g., DeepEval/RAGAS), and cloud-native deployment (Docker/K8s, AWS/GCP).</li></ul>Basic Qualifications (Senior MLE)<ul><li>Deep Technical ML Leadership: 6&#43; years of experience researching, developing and deploying production-grade ML systems, including expertise in deep learning, NLP,  Information Retrieval, and recommender systems using frameworks like PyTorch or TensorFlow.</li><li>Generative AI &amp; Agentic Systems: Proven track record of building and evaluating LLM-powered products, including expertise in RAG architectures, agentic frameworks (e.g., LangChain/LangGraph), and long-context LLM applications (e.g., Text-to-SQL).</li><li>Engineering Excellence: Expert-level Python skills with a focus on modular library design, asynchronous patterns, and scalable system architecture (state management/error handling) for non-deterministic AI outputs.</li><li>Production MLOps: Hands-on experience with the full ML lifecycle, including model fine-tuning (PEFT), evaluation frameworks (e.g., DeepEval/RAGAS), and cloud-native deployment (Docker/K8s, AWS/GCP).</li></ul>Other Qualifications<ul><li>Academic Foundation: Advanced degree (Master’s or Ph.D.) in a quantitative field or a strong portfolio of peer-reviewed research publications.</li><li>Optimization &amp; Advanced Techniques: Proficiency in techniques like DSPy, Reinforcement Learning, imitation learning, graph neural networks, multi-modal models, and large-scale data processing (PySpark, SQL).</li><li>Experimental Rigor: A &#34;test-everything&#34; mindset with experience in A/B testing, Knowledge Graphs, and &#34;Golden Dataset&#34; curation for model benchmarking.</li><li>Data Pipelines: Proficiency in large-scale data processing (PySpark, SQL).</li><li>Collaborative Leadership: Demonstrated ability to lead cross-functional teams, mentor junior engineers, and solve ambiguous problems with high autonomy.</li></ul>#LI-JH1 Workday Pay Transparency StatementThe annualized base salary ranges for the primary location and any additional locations are listed below.  Workday pay ranges vary based on work location. As a part of the total compensation package, this role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus, as well as annual refresh stock grants. Recruiters can share more detail during the hiring process. Each candidate’s compensation offer will be based on multiple factors including, but not limited to, geography, experience, skills, job duties, and business need, among other things. For more information regarding Workday’s comprehensive benefits, please <a target="_blank" href="https://workdaybenefits.com/us/welcome-to-workday-benefits/prospective-workmates">click here</a>.Primary Location: CAN.ON.Toronto  Primary Location Base Pay Range: $156,000 CAD - $234,000 CAD  Additional US Location(s) Base Pay Range: $163,000 USD - $288,000 USDAdditional Considerations: If performed in Colorado, the pay range for this job is $171,600 - $257,400 USD based on min and max pay range for that role if performed in CO.<div><div><div><div><div><div><div>The application deadline for this role is the same as the posting end date stated as below:  </div></div></div></div></div></div></div>04/10/2026 Our Approach to Flexible Work  With Flex Work, we’re combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role). This means you&#39;ll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote &#34;home office&#34; roles also have the opportunity to come together in our offices for important moments that matter.Pursuant to applicable Fair Chance law, Workday will consider for employment qualified applicants with arrest and conviction records.Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans. At Workday, we are committed to providing an accessible and inclusive hiring experience where all candidates can fully demonstrate their skills. If you require assistance or an accommodation at any point, please email <a target="_blank" href="mailto:accommodations&#64;workday.com">accommodations&#64;workday.com</a>.Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process!At Workday, we value our candidates’ privacy and data security.  Workday will never ask candidates to apply to jobs through websites that are not Workday Careers.   Please be aware of sites that may ask for you to input your data in connection with a job posting that appears to be from Workday but is not.  In addition, Workday will never ask candidates to pay a recruiting fee, or pay for consulting or coaching services, in order to apply for a job at Workday.

Machine Learning Engineer III / Senior Machine Learning Engineer - AI Platform

Machine Learning Engineer

3+ years ML systems; NLP, IR, recommender; Python, PyTorch/TensorFlow; MLOps, Docker/K8s; PEFT, cloud deployment; 6+ years for senior track; Master’s/PhD preferred.

At A-dec, we do more than create the highest quality products and services for the dental industry; we strive to deliver a superior employment experience for each of our team members. With an environment that encourages and assists each person in developing to their highest potential, a career at A-dec is incredibly rewarding.<h2>Overview</h2>The AI Engineer, Sr plays a key role in building and scaling applied artificial intelligence capabilities across the organization. This role focuses on delivering practical AI solutions that drive automation, improve decision making, and enable predictive insights across business functions such as supply chain, finance, operations, sales, and customer service. The AI Engineer, Sr will design, build, and deploy AI powered systems including predictive models, forecasting solutions, and agentic AI workflows. This is a hands-on engineering role that partners closely with business and technology teams to turn real world problems into scalable AI solutions. The role emphasizes production ready systems, responsible AI use, and measurable business impact rather than academic research.JOB DUTIES AND RESPONSIBILITIES: <ul><li>Design, develop, validate and deploy AI driven solutions that support automation, predictive analytics, forecasting, and decision support across the business</li><li>Build and maintain machine learning models and AI services used in production environments</li><li>Design and orchestrate multi agent AI systems, including LLM based agents, agent routing and collaboration, and MCP enabled data and tool APIs for secure, scalable enterprise workflows</li><li>Build and optimize LLM capabilities using retrieval augmented generation, model fine tuning, and interface integration to deliver reliable, high quality AI outputs in production environments</li><li>Integrate AI capabilities with existing enterprise systems such as ERP, CRM, data platforms, and workflow tools</li><li>Implement data pipelines and feature engineering processes to support reliable model training and inference</li><li>Evaluate and integrate third party AI platforms, APIs, and tools where appropriate</li><li>Establish best practices for model deployment, monitoring, performance tuning, and lifecycle management</li><li>Support enterprise data governance by partnering with data owners to define data contracts and ensure data quality and consistency across pipelines</li><li>Ensure AI solutions meet security, privacy, and responsible AI standards</li><li>Collaborate with software engineers, data engineers, and IT teams to ensure scalable and maintainable implementations</li><li>Measure and communicate business impact of AI solutions using clear metrics and outcomes</li><li>Document system designs, models, and operational processes to support knowledge sharing and scalability</li><li>Manages, leads, and/or assists various new or sustaining technology projects; performs light project management duties as required. </li><li>Stay current with applied AI trends and recommend practical innovations that align with business goals</li></ul>QUALIFICATIONS:Knowledge, Skills, and Abilities<ul><li>Programming languages:<ul><li>Python for building AI models, automation, and production services</li><li>SQL for working with structured data used in analytics, forecasting, and model inputs</li></ul></li><li>Technical Skills:<ul><li>Strong understanding of data pipelines, feature engineering, and data quality fundamentals</li><li>Experience integrating AI solutions with existing enterprise systems using APIs</li><li>Familiarity with cloud-based AI services and deployment patterns</li><li>Applied model evaluation and testing expertise, including prompt testing, experimentation and A/B testing, system integration testing and production monitoring.</li><li>Experience optimizing costs for LLMs and agentic systems in cloud environments, including inference efficiency, token usage, and model selection tradeoffs</li><li>Understanding of software engineering best practices including version control, testing, and documentation</li><li>Knowledge of security, privacy, and responsible AI considerations in business environments</li></ul></li><li>Preferred Programming Languages:<ul><li>JavaScript or TypeScript for integrating AI capabilities into web applications or internal tools</li><li>Bash or shell scripting for automation and deployment tasks</li></ul></li><li>Preferred Technical Skills:<ul><li>Experience with agentic AI frameworks or orchestration tools such as LangChain, LlamaIndex, AutoGen, or MCP based patterns</li><li>Experience with cloud platforms such as Azure, AWS or GCP beyond basic usage</li><li>Familiarity or experience with Dynamics 365, Snowflake and Microsoft Fabric</li><li>Familiarity with MLOps practices including model monitoring, versioning, and lifecycle management</li><li>Experience with data pipeline and workflow tools such as Airflow, dbt, or cloud native orchestration services</li><li>Applied statistics and model evaluation skills, including experiment design and statistical validation, to ensure reliable and unbiased AI driven decision support and forecasting.</li><li>Experience evaluating and integrating third party AI platforms or vendors</li><li>Exposure to automation platforms, RPA tools, or workflow engines where AI is embedded into business processes</li><li>Familiarity with emerging AI regulations and auditability techniques</li><li>Ability to mentor or guide others on applied AI best practices</li></ul></li></ul>Education and Experience<ul><li>Bachelor’s degree in computer science, engineering, data science, mathematics, or a related technical field, or equivalent practical experience</li><li>Successful candidates typically possess over 8 years of relevant professional or technical engineering experience of increasing responsibility and difficulty of assignments.  </li><li>Experience building and deploying applied AI or machine learning solutions in production environments</li><li>Hands on experience with at least one machine learning framework such as scikit learn, PyTorch, or TensorFlow</li><li>Practical experience using large language models via APIs for real world business use cases</li><li>Experience designing and implementing AI driven automation or agentic workflows</li></ul>DisclaimerThis job description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not to be construed as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. A-dec reserves the right to assign job duties and days and hours of work based on factors such as workload requirements, staffing levels, and customer demands.At A-dec, we value our people and show it by prioritizing an inclusive culture, total well-being, and opportunities for learning and career advancement. A background check and screen for the illegal use of drugs is required.   A-dec is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. In addition, A-dec will not discriminate against applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another. *VEVRAA Federal Contractor” A-dec is interested in qualified candidates authorized to work in the United States for US-based positions. We are unable to sponsor or take over sponsorship of employment visas.

AI Engineer, Sr

Senior AI Engineer with 8+ years in production AI, Python/SQL, ML pipelines, LLMs, cloud platforms; experience with enterprise systems and MLOps.

Python Cloud Platform Developer Jobs in Grand Ronde, OR, US

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