Senior Machine Learning Engineer

Contract to hireHybird - Chicago, IL "This is for the LLM role, will require setting up infrastructure on AWS initially - API Gateway, Lambda Functions, CloudFormation, CodePipelines, Cross region deployment. Once that's done is when we'll get into deployingutilizing language models inside lambda functions, SageMaker endpoints." AWS concentration Looking for experience with LangChain LLM (Large Language models) experienceExperience building algorithmic productsapplications Mid-Sr Experience7+ yearsEverything other than building the model itself Infra, deployment, future engineering, No Data movement, Data manipulations. Overall bring the product to life Algorithmic ProductData Science teamsSeeking a 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 deliveryactivation. 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. POSITION RESPONSIBILITIES: • Partner with data scientists to design workflowsarchitectures 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 cleansingimputation logic. • Enhance existing algorithmic products architectureworkflow 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 formatcadence 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. EXPERIENCE AND QUALIFICATIONS: • 5+ years of implementing software product solutions in a cloud environment with a focus on algorithmicmachine 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 CICD 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

Created: 2024-10-24