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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Machine Learning Engineer - **Company:** Peterson Technology Partners Ptp - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $176,800.0 - $228,800.0 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Artificial Intelligence, Amazon Web Services, Cloud Computing, Data Architecture, Data Cleansing, Information Engineering, Data Governance, Software Design Patterns, DevOps, Python (Programming Language), Machine Learning, Software Engineering, SQL Databases, Data Streaming, GaBi Software, Data Ingestion, AI Platforms, Pyspark, Information Technology, Data Pipelines, Docker - **Published:** June 30, 2026 - **Apply:** https://www.dice.com/job-detail/62db4c7d-bab0-4e78-8764-3d7c203969ac ## About the Role * 5+ years of implementing software product solutions in a cloud environment with a focus on algorithmic/machine learning products, hospitality experience not required * Expertise in AWS cloud services * Expertise in Python, SQL, PySpark, Docker * Experience with streaming and batch data architectures at scale * Experience operating in an Agile Methodology environment. * Experience with DevOps and CI/CD concepts * Excellent communication and teamwork skills * Position will not require customer-facing interactions. Education: * master s degree in computer science, software engineering, or related fields required ## Description Our client seeks an extraordinary Machine Learning Engineer to help build the algorithmic assets and features that guests, members, customers and internal users leverage to transform the guest experience and drive efficiencies across the operations of our business. In this role you will design and implement algorithmic product architectures to bring our machine learning models to life across the full lifecycle of the product including data ingestion, ML processing, and results delivery/activation. This role will work cross-functionally with various data science teams, data engineering teams, and data architecture teams. The ideal candidate can serve as both solutions architect as well as hands-on implementation engineer and guide the team towards best-in-class algorithmic product implementations. You will be a part of a ground-floor, hands-on, highly visible team which is positioned for growth and is highly collaborative and passionate about data science. Applying the latest techniques and approaches across the domains of data science, machine learning, and AI isn t just a nice to have, it s a must. Position Responsibilities: * Partner with data scientists to design workflows/architectures that activate ML models and maximize their impact, such as real-time streaming use-cases and offline batch optimizations. * Partner with data scientists to develop prototype solutions of algorithmic products leveraging appropriate AWS services with appropriate consideration for scale and latency where applicable. * Implement and productionize final solutions via infrastructure-as-code pattern. * Implement data processing workflows to enhance our Feature Store with impactful data including appropriate data cleansing/imputation logic. * Enhance existing algorithmic products architecture/workflow as needed to maximize impact of the algorithmic product. * Partner with data engineering team to ensure data science data needs are being delivered in the appropriate format/cadence required for maximum impact. * Stay up to date with latest design patterns and AWS services with respect to Machine Learning Engineering. * Partner with data architecture, data governance, and security team to ensure solutions meet required standards. * The ideal candidate demonstrates a commitment to core values: respect, integrity, humility, empathy, creativity, and fun., To provide a consistent, fair, and flexible experience for all candidates, we use AI-assisted tools to support parts of the interview process. This includes our proprietary AI platform Pete & Gabi, which includes AI recruiter Rebecca. These AI hiring tools help us: * Conduct recorded video interviews * Transcribe interviews * Summarize candidate responses * Generate job-related insights * Streamline communication and scheduling Please note that: The AI does NOT make hiring decisions; all decisions are made by our human recruiters, hiring managers, or client partners. The AI does not evaluate facial expressions, emotions, or physical traits; it is used only to support fairness, consistency, and efficiency. If you prefer a non-AI interview format, we will gladly provide an alternative. Technical or Case Interviews (Role-Dependent): When applying for certain tech jobs, you may participate in: * A technical interview * A coding challenge * A case study * A client-specific assessment We will always explain what to expect in advance so you can prepare with confidence. Human Review & Selection: Every candidate's profile including interviews, conversations, and assessments is reviewed by experienced recruiters and hiring leaders. AI insights may assist with organization and evaluation, but final decisions are always human-driven. ## Related Videos - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) - [Got AI ideas but no money? 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