<div>This role is based out of our Kansas City, Missouri office location to work primarily on site 4 days per week. We are also open to a remote hire based within the U.S. <br><br>You can also apply to our <a href="https://www.paycomonline.net/v4/ats/web.php/jobs/ViewJobDetails?job=87285&amp;clientkey=92484D04B4BA2DDA7D390926D0E49CF2">GO Posting!</a><br><br></div><div><strong>Organizational Profile: &nbsp;</strong></div><div>Are you a technically gifted Data Engineer who wants to use your technical expertise to help transform the lives of children and families? The Global Orphan Project (GO Project) is looking for an experienced and mission-aligned Data Engineer to join our team in Kansas City, MO. We’re a Christian nonprofit ministry dedicated to breaking the orphan cycle through community, commerce, and the love of Jesus Christ. In this pivotal role, you will be the architect behind the systems that power our data strategy—building the pipelines, infrastructure, and governance needed to drive responsible innovation and real-time decision-making in support of children and families in crisis.&nbsp;</div><div>&nbsp;&nbsp;</div><div><strong>Candidate Profile / How Colleagues Describe You: &nbsp;</strong></div><ul><li>Technically Proficient &amp; Detail-Oriented: You thrive on solving complex data challenges and building reliable infrastructure that supports organizational growth.&nbsp;</li><li>Mission-Driven: You’re motivated both by technical excellence and purpose, believing in using data to serve a higher calling.&nbsp;</li><li>Collaborative &amp; Curious: You work well with others, thrive in cross-functional teams, and are always eager to learn from all corners of the organization.&nbsp;</li><li>Governance-Minded: You bring a strong ethical approach to data use, prioritizing security, compliance, and long-term sustainability.&nbsp;</li><li>Adaptable &amp; Inquisitive: You’re quick to learn new technologies and eager to explore innovative tools such as GenAI, LLMs, and data orchestration platforms. &nbsp;</li></ul><div><br></div><div><strong>What You’ll Do: &nbsp;</strong></div><div>As GO Project’s Data Engineer, you’ll be the architect and maintainer of the systems that power our analytics, AI tools, and impact dashboards. Your work will enable better decision-making, faster innovation, and deeper insights across the organization.&nbsp;</div><div>Data pipeline ownership:&nbsp; &nbsp;</div><ul><li>Development, maintenance, testing and optimization of data pipelines across a variety of organizational data-sources (e.g. CRM, product, marketing, donors, etc).&nbsp;</li><li>Coordination with data owners across organization to understand, clean, validate and transform data ready for use in production BI/ML/GenAI applications&nbsp;</li><li>Ensure data pipeline test automation in place catching issues before production&nbsp;</li><li>Partner closely with BI dashboard developers and Data Scientists to ensure clear understanding of data needs&nbsp;</li></ul><div>Data Governance &amp; Quality&nbsp;</div><ul><li>Implement and enforce data governance policies to maintain data quality, consistency, and compliance with applicable regulations.&nbsp;</li><li>Establish and monitor data standards, processes, and best practices to support data quality needs.&nbsp;</li><li>Partner with data owners to continuously improve data quality&nbsp;</li><li>Manage data role-based access systems&nbsp;</li><li>Ensure clear data lineage, data catalogs, data definitions and minimize data duplication across applications&nbsp;</li></ul><div>Data Intelligence Platform, Cloud &amp; LLM Mesh Administration&nbsp;</div><ul><li>Own the architecture and configuration of data intelligence platforms (e.g. Dataiku, DataBricks, etc)&nbsp;</li><li>Establish proper best practices and naming conventions&nbsp;</li><li>Manage data-related cloud technology configurations&nbsp;</li><li>Administer LLM model provider access, APIKeys and licensing&nbsp;</li></ul><div>ML/GenAI Application Deployment &amp; Monitoring&nbsp;</div><ul><li>Understand and utilize MLOps and other monitoring tools to ensure performance standards are met, model drift minimized, etc&nbsp;</li><li>Manage production deployment of ML models, LLMs, and other AI tooling&nbsp;</li></ul><div><strong>Qualifications:<br>&nbsp;</strong>Required Knowledge, Skills &amp; Abilities You Bring to the Organization: &nbsp;<br><br>Education Required: &nbsp;</div><ul><li>Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field.&nbsp;</li></ul><div>Experience:&nbsp;</div><ul><li>3+ years of experience as a Data Engineer or in a comparable technical role.&nbsp;</li><li>Proficient in SQL, Python, and other data programming approaches.&nbsp;</li><li>Fluent with various types of databases (e.g. mySQL, Dynamo, etc), warehouses (e.g. BigQuery, DeltaLake, etc), and analytical systems (e.g. Dataiku, DataBricks, etc).&nbsp;</li><li>Hands-on experience with APIs, ETL/ELT processes, and data integration from diverse systems.&nbsp;</li></ul><div><strong>Preferred:&nbsp;</strong></div><ul><li>Familiarity with data orchestration platforms (e.g., Airflow, dbt, spark, or similar).&nbsp;</li><li>Exposure to GenAI infrastructure (e.g., RAG, vector databases, LLM model types) and production level AI applications&nbsp;</li><li>Cross organization collaboration and “data culture” building&nbsp;</li><li>Close partnerships with data owners and strong business intuition&nbsp;</li></ul><div>Physical Requirements: &nbsp;<br><br>This role is primarily sedentary, with occasional requirements to lift materials up to 15 pounds, such as tech equipment or supplies. &nbsp;<br><br>Why Join Us?&nbsp;<br>At The Global Orphan Project, your expertise will fuel a global mission. You’ll work alongside passionate teammates who care deeply about vulnerable children and families. You’ll help build systems that inform strategy, automate processes, and expand our capacity to serve, while growing personally and professionally.&nbsp;<br><br>We offer a competitive benefits package for full-time roles (30+ hours/week), including health, dental, vision, employer-paid life insurance, 401(k), and generous PTO. You’ll work alongside a talented, value-driven team committed to excellence, innovation, and faith.&nbsp;<br><br>Ready to Build Something that Matters? &nbsp;<br>If you’re excited about using your engineering skills to power a mission-driven organization, we invite you to apply. Submit your resume and a cover letter sharing why you’re a fit for this role and how your faith and expertise align with the GO Project mission. Let’s build a data-driven future that honors families, uplifts communities, and reflects the heart of Christ.&nbsp;</div>

Data Engineer

<div><strong>Job Location:</strong>&nbsp;</div><ul><li>Hybrid in Sewickley, PA</li><li>Hybrid in Palo Alto, CA</li></ul><div><strong><br>Join Us at Gloo: Help Us Build the Leading Technology Platform to Serve the Faith Ecosystem.&nbsp;</strong></div><div><br>At Gloo, we believe relationships catalyze growth—and when technology serves relationships, the world can be transformed, one life at a time.&nbsp; We recognize the faith ecosystem is broad and diverse. It includes churches, parachurch ministries and thousands of non-faith based organizations committed to advancing the flourishing of people. Our purpose is simple yet profound: to shape technology as a force for good, so that people can flourish and communities can thrive.. Therefore, our mission is to build the leading technology platform to serve the faith ecosystem.<br><br></div><div>We are a mission-driven organization, guided by four core principles:<br><br></div><ul><li><strong>Shape Technology for Good:</strong> Whether it’s AI tools, dashboards, or communication tools, we empower leaders with values-aligned solutions that amplify their missional impact with tools they can trust.</li><li><strong>Serve Those Who Serve:</strong> From pastors and donors to network leaders and content creators—we’re passionate about providing technology that helps them do more of what they are called to do.&nbsp;</li><li><strong>Release Collective Strength:</strong> We connect the diverse faith ecosystem—churches, parachurch ministries and thousands of non-faith based organizations committed to advancing the flourishing of people—so they can achieve more together than they could alone.</li><li><strong>Enable Ecosystem Trust:</strong> Trust is the foundation of a connected faith community. We enable transparency, digital rights management, and simplicity to foster confident collaboration.</li></ul><div><br>We are looking for talented, mission-driven individuals to join our team as we create innovative technology solutions that inspire and empower people to release the passion in every person, including you, to be all they were created to be. If you’re ready to make an impact with your talents and skills toward this purpose, we’d love to hear from you!<br><br></div><div><strong>The Opportunity:<br></strong><br></div><div>Join Gloo’s AI Research &amp; Data Science team and turn frontier LLM research into evidence-backed product decisions that help people grow. You’ll own the end-to-end experimentation loop—from designing causal tests and faith-aligned evaluation metrics to automating dashboards that keep model quality, bias, and cost in check. Pastors, parents, and everyday seekers will trust the insights we deliver because you’ll make sure the data behind them is rock-solid.</div><div><br>Your day-to-day blends hands-on analytics with strategic impact:<br><br></div><ul><li><strong>Morning:</strong> run a power analysis on yesterday’s live-traffic experiment, then pull terabytes of telemetry from Snowflake to fine-tune a hallucination detector in PyTorch.</li><li><strong>Mid-day:</strong> pair with an ML engineer to wire your new “faith-alignment” score into the CI pipeline so every model checkpoint is auto-graded before it hits staging.</li><li><strong>Afternoon:</strong> present a causal-impact report to product and design, translating statistical nuance into a clear go/no-go decision for next week’s launch.</li></ul><div><br>You won’t do it alone. You’ll collaborate daily with research scientists, backend engineers, PMs, and Design who care as deeply about human flourishing as they do about clean code. Together you’ll ship world-class eval suites, trusted data pipelines, and self-service insights that let others build on our work.</div><div><br>If you’re ready to trade big-tech bureaucracy for autonomy, mission, and the chance to invent what doesn’t exist yet, we’d love to meet you. This hybrid role is based in Pittsburgh, PA or Palo Alto, CA, with quarterly summits in Boulder and the freedom to see your ideas move from prototype to production—fast.<br><br></div><div><strong>What You’ll Do:<br></strong><br></div><h3><strong>Research &amp; Technical Excellence</strong></h3><ul><li><strong>Design gold-standard evaluation pipelines.</strong> Build offline + online test harnesses that quantify accuracy, hallucination, bias, latency, cost, and <em>faith alignment</em> for every new model checkpoint—then light them up in CI so bad pushes never reach staging.</li><li><strong>Invent metrics that matter.</strong> Translate “human flourishing” into measurable signals (e.g., uplift scores, pastoral-fit indices) and validate them with causal inference, inter-rater reliability, and power analyses.</li><li><strong>Champion testability at data scale.</strong> Instrument data pipelines to emit lineage, privacy flags, and drift stats; automate regression and shadow-traffic tests so research moves fast without breaking trust.</li><li><strong>Advance the craft.</strong> Publish internal whitepapers, run journal clubs on causal ML and LLM evaluation, and mentor engineers in statistical thinking and experiment design.</li></ul><div><br></div><h3><strong>Delivery</strong></h3><ul><li><strong>Ship decision-ready insights.</strong> Own the end-to-end loop—from query in Snowflake or Weaviate, through feature engineering in PyTorch, to a Looker dashboard or Slack bot that PMs use daily.</li><li><strong>Accelerate cycles, not risk.</strong> Template experiment frameworks (A/B, switchback, Bayesian bandits) so product teams can launch tests in hours; automate cleanup, analysis, and “stop/keep/scale” recommendations.<br><strong>Raise the performance ceiling.</strong> Hunt bottlenecks—slow ETL, expensive inference, noisy labels—and knock them down with better schemas, caching, or active-learning pipelines.</li></ul><div><br></div><h3><strong>Strategic Clarity</strong></h3><ul><li><strong>Align analytics with mission.</strong> Partner with product and research to frame how new metrics, datasets, or safety guardrails power coaching, discipleship, and broader human-flourishing outcomes.</li><li><strong>Model trade-offs.</strong> Quantify the ROI of additional GPU spend, bigger context windows, or stricter privacy filters, then brief execs with clear “yes / later / never” options.</li><li><strong>Codify best practice.</strong> Keep living docs on metrics definitions, experiment checklists, and data-governance rules so every team can self-serve without reinventing the wheel.</li></ul><div><br></div><h3><strong>Collaboration</strong></h3><ul><li><strong>Default to cross-functional.</strong> Pair with infra on scalable data stores, with security on PII governance, and with UX on in-product instrumentation that captures the right events the first time.</li><li><strong>Create productive tension.</strong> Ask the hard statistical questions early, surface risks, and drive “disagree-and-commit” clarity so launches stay both fast <strong>and</strong> safe.</li></ul><div><br></div><h3><strong>Leadership &amp; Influence</strong></h3><ul><li><strong>Mentor over manage.</strong> Coach junior analysts and engineers; review code, notebooks, and dashboards to raise the team’s statistical bar.</li><li><strong>Lead from the data.</strong> When the numbers disagree with intuition, speak up—candidly but constructively—then rally the group around evidence-based solutions.</li><li><strong>Institutionalize learning.</strong> Run retros on every major experiment, celebrate lessons (wins or fails), and bake micro-improvements into the next cycle.</li></ul><div><strong><br>In short:</strong> you’ll turn terabytes of raw signals into trustworthy metrics, experiments, and narratives that keep our AI honest and our mission on track—ensuring every insight we ship genuinely helps someone flourish.<br><br></div><div><strong>What We Are Looking For:</strong></div><ul><li>Advanced degree or demonstrable equivalent (peer-reviewed research or high-impact data-science products). &nbsp;</li><li>5+ years in product or research data-science roles designing experiments and shipping insights. &nbsp;</li><li>Expert SQL and Python (Pandas, NumPy); own end-to-end ETL → analysis → dashboard. &nbsp;</li><li>Deep fluency in causal inference, A/B and switchback testing, and metric design. &nbsp;</li><li>Proven ability to evaluate or partner on large-model analytics; familiarity with LLM eval best practices. &nbsp;</li><li>Skilled communicator who turns statistical nuance into decisive recommendations.</li></ul><div><br></div><h3><strong>Preferred Qualifications</strong></h3><ul><li>Hands-on LLM evaluation or bias-audit work; prompt analysis tooling. &nbsp;</li><li>Modern MLOps familiarity (Ray, Airflow, Kubernetes) and GPU cost telemetry. &nbsp;</li><li>Publications at NeurIPS/ICML/KDD or open-source repos &gt; 500 stars. &nbsp;</li><li>Prior work in mission-driven or faith-aligned settings.</li></ul><div><strong><br>Compensation:&nbsp;</strong></div><ul><li>Sewickley, PA - $125,000 - $175,000&nbsp;</li><li>Palo Alto, CA - $175,000 - $225,000</li></ul><div><strong><br>Our Team Members Enjoy:</strong><br>Competitive compensation and discretionary performance bonus commensurate with experience<br><br></div><ul><li>Flexible PTO policy and state-compliant sick leave to support your well-being</li><li>Medical, Dental, and Vision plans with up to 90% coverage for employees</li><li>Generous employer HSA contributions for HDHP elections</li><li>Employer-sponsored 401k program with a 2% employer match</li><li>Learning &amp; Development stipend available after 6 months of employment</li><li>Paid Parental Leave</li><li>A dynamic, talented team, dedicated to changing the world and building an incredible business</li><li>Onsite and virtual social events to keep us connected in our hybrid work environment</li></ul><div><br>Applicants must be currently authorized to work in the United States on a full-time basis. At this time, Gloo is only able to consider candidates who are U.S. Citizens or U.S. Permanent Residents.</div><div><br>Gloo is committed to providing an inclusive and accessible experience for all candidates. If you require a reasonable accommodation during the application or interview process, please contact us at recruiting@gloo.us to let us know how we can support you.</div>

Senior Data Scientist, AI

<h3>Details</h3><ul><li><strong>Department: </strong>Ascension Data Science Institute</li><li><strong>Schedule: </strong>Full time, 8 hour day shift, Monday - Friday</li><li><strong>Location: </strong>Remote</li></ul><div><br></div><h3>Benefits</h3><div>Paid time off (PTO)<br>Various health insurance options &amp; wellness plans<br>Retirement benefits including employer match plans<br>Long-term &amp; short-term disability<br>Employee assistance programs (EAP)<br>Parental leave &amp; adoption assistance<br>Tuition reimbursement<br>Ways to give back to your community</div><div>&nbsp;</div><div><em>Benefit options and eligibility vary by position. Compensation varies based on factors including, but not limited to, experience, skills, education, performance and salary range at the time of the offer.</em></div><div><br></div><h3>Responsibilities</h3><div><strong>What you will do:</strong></div><ul><li>Build and manage pipelines using Vertex AI and Kubeflow Pipelines for seamless experimentation, versioning, and deployment.</li><li>Handle version control, model registries, and CI/CD workflows; ensure reproducibility and traceability of ML experiments.</li><li>Package ML workloads in Docker containers and deploy on Cloud Run, GKE (Google Kubernetes Engine), ensuring scalability and performance.</li><li>Use Cloud Monitoring, Cloud Logging, Looker dashboards or similar to detect data/model drift, monitor cost, and optimize resource utilization.</li></ul><div><strong><br>Additional preferences:&nbsp;<br></strong><br></div><ul><li>Familiarity with BigQuery, Dataflow, or Pub/Sub for large-scale data ingestion and preprocessing</li><li>Experience with TensorFlow, PyTorch, or Scikit-learn, integrating them into production pipelines</li><li>Working knowledge of Cloud Functions, Cloud Build, GitOps principles, or other deployment automation tools</li><li>Strong background in Python with Git-based version control, emphasizing best practices and code quality</li></ul><div><br></div><h3>Requirements</h3><div>Education:</div><ul><li>High School diploma equivalency with 2 years of cumulative experience OR Associate's<br>degree/Bachelor's degree with 1 year of experience OR 5 years of applicable cumulative job specific<br>experience required. 2 years of leadership or management experience preferred.</li></ul><div><br></div><h3>Additional Preferences</h3><div>No additional preferences.</div><div><br></div><h3>Why Join Our Team</h3><div>Ascension associates are key to our commitment of transforming healthcare and providing care to all, especially those most in need. Join us and help us drive impact through reimagining how we can deliver a people-centered healthcare experience and creating the solutions to do it. Explore career opportunities across our ministry locations and within our corporate headquarters.</div><div>&nbsp;</div><div>Ascension is a leading non-profit, faith-based national health system made up of over 134,000 associates and 2,600 sites of care, including more than 140 hospitals and 40 senior living communities in 19 states.</div><div>&nbsp;</div><div>Our Mission, Vision and Values encompass everything we do at Ascension. Every associate is empowered to give back, volunteer and make a positive impact in their community. Ascension careers are more than jobs; they are opportunities to enhance your life and the lives of the people around you.</div><div><br></div><h3>Equal Employment Opportunity Employer</h3><div>Ascension will provide equal employment opportunities (EEO) to all associates and applicants for employment regardless of race, color, religion, national origin, citizenship, gender, sexual orientation, gender identification or expression, age, disability, marital status, amnesty, genetic information, carrier status or any other legally protected status or status as a covered veteran in accordance with applicable federal, state and local laws.</div><div>&nbsp;</div><div>As a military friendly organization, Ascension promotes career flexibility and offers many benefits to help support the well-being of our military families, spouses, veterans and reservists. Our associates are empowered to apply their military experience and unique perspective to their civilian career with Ascension.</div><div>&nbsp;</div><div><strong>Pay Non-Discrimination Notice</strong></div><div>Please note that Ascension will make an offer of employment only to individuals who have applied for a position using our official application. Be on alert for possible fraudulent offers of employment. Ascension will not solicit money or banking information from applicants.</div>

MLOps Engineer

<div>Are you mad-skilled at building amazing technical solutions yet burned out because your efforts sell widgets you don't care about? Passionate about your Christian faith and want to put that to work making a difference for people around the world? Come join the IDX team as a technical architect!</div><div><br>The MLOps Engineer Volunteer will focus on developing and maintaining robust, scalable tools and infrastructure for audio processing, text-to-speech (TTS), and speech-to-text (STT) applications in the field of NLP, particularly for low-resource languages. This role involves collaboration with data scientists and NLP researchers to integrate cutting-edge technologies into practical solutions, aiding SIL and its partners in their mission to enhance communication and information accessibility across diverse language communities.</div><div><br><strong>Major Job Responsibilities</strong></div><ul><li>Design and implement infrastructure for audio processing and speech-related NLP applications.</li><li>Develop and maintain pipelines for TTS and STT models, ensuring efficiency and scalability.</li><li>Collaborate with NLP researchers and data scientists for the integration of new speech processing algorithms.</li><li>Automate deployment processes and maintain high system availability.</li><li>Monitor and optimize system performance, ensuring data security and integrity.</li><li>Provide technical expertise and support for audio and speech-related NLP projects.</li></ul><div><br>Minimum Skill Sets (KSAs):</div><div><strong>Knowledge</strong></div><ul><li>Deep understanding of DevOps/MLOps practices and tools.</li><li>Familiarity with audio processing, TTS, and STT technologies.</li><li>Proficiency in Python and/or similar programming languages.</li></ul><div><br><strong>Skills</strong></div><ul><li>Experience with cloud computing platforms (e.g., AWS, GCP).</li><li>Ability to design and manage CI/CD pipelines.</li><li>Competence in Docker, Kubernetes, and similar containerization technologies.</li><li>Effectively communicate with both technical and non-technical teams.</li></ul><div><br><strong>Attitudes</strong></div><ul><li>Committed to upholding professional standards</li><li>Demonstrating the highest level of ethical behavior</li><li>Interacting positively and collaborating as a member or leader of a team, with respect toward various differing perspectives</li><li>Able to work and communicate effectively across cultures</li><li>Doing the right things in the right way for the right reasons</li><li>Consistently ready to learn and grow</li></ul><div><br><strong>Education and Experience</strong></div><ul><li>Bachelor's degree in Computer Science, Engineering, or related field, or equivalent practical experience.</li><li>Experience in MLOps, particularly in NLP or speech processing environments.</li><li>Prior work with cloud-based infrastructure and audio processing tools is highly desirable.</li><li>Experience in creating and managing APIs, specifically for machine learning applications, is desirable.</li><li>Knowledge of other languages in addition to English, and/or exposure to diverse multilingual environments, is preferred.</li></ul>

CHRISTIAN MLOPSJOBS