Senior Engineer 2, Machine Learning

The A&F Corporate Global Data and Integrations DevOps team is searching for an ambitious and gritty Machine Learning Engineer. This role will focus on building, operating, and scaling production grade MLOps and GenAI platforms that enable data scientists and product teams to reliably deploy predictive analytics and Generative AI applications across the enterprise.This role is highly operations and infrastructure focused, emphasizing automation, reproducibility, observability, and cost-efficient scaling of machine learning and GenAI systems. MLOps and LLMOps are critical to ensuring new insight and GenAI-powered products move quickly to production without accumulating long-term technical debt or becoming high-maintenance systems.The Machine Learning Engineer will demonstrate deep, practical knowledge of modern MLOps, LLMOps, cloud-native ML architectures, and foundational data engineering practices. This role will also help elevate the organization by enabling data scientists to own projects end to end, from data exploration and prompt experimentation through production deployment, monitoring, and iteration.What Will You Be Doing? Machine Learning & GenAI Pipeline ManagementDesign, build, and deploy end to end ML and GenAI pipelines from exploratory analysis and feature/prompt engineering through model training, evaluation, and batch or real-time inference.Develop and operate reproducible workflows supporting:Classical ML and deep learning modelsFoundation models and fine-tuned LLMsRetrieval Augmented Generation (RAG) pipelinesEvaluate and integrate new technologies that reduce technical debt and improve reliability, scalability, and developer productivity across ML and GenAI workloads.Develop and maintain best practices and how to guide modern MLOps and LLMOps, including:Git-based development workflowsCI/CD for ML and GenAI (training, evaluation, and deployment)Data, feature, prompt, and model validationExperiment tracking for models and promptsModel and prompt registries with versioning and lineageFeature stores and vector databases (embeddings) with offline/online consistencyScheduling and orchestration of ML and GenAI pipelinesData, feature, embedding, and output drift monitoring with alertingLatency, throughput, and cost monitoring for LLM inferenceOptimization of cloud compute and model serving costsServe as the MLOps / LLMOps Subject Matter Expert (SME) for the GDI DevOps and Data & Analytics teams.Train and enable data scientists and analysts on production oriented ML and GenAI best practices, including safe deployment patterns.GenAI & LLM EnablementEnable enterprise GenAI use cases by building shared infrastructure and guardrails for:Prompt engineering and prompt lifecycle managementLLM evaluation and quality scoring frameworksRetrieval pipelines using embeddings and vector searchSupport hybrid architectures combining:Traditional ML predictionsEmbedding-based retrieval systemsFoundation models and fine-tuned domain-specific modelsImplement governance, security, and compliance controls for GenAI systems, including:Input/output validationPII and sensitive data handlingModel access and usage trackingData EngineeringEstablish, parameterize, and maintain connections to new and existing data sources (transactional, clickstream, social, unstructured, and external data).Apply best practices for writing curated datasets, embeddings, and ML features to data lakes, warehouses, feature stores, and vector stores.Ensure data accuracy, consistency, lineage, and traceability to support a single source of truth across ML and GenAI workflows.Partner with Data Engineering, Platform, and Security teams to evolve scalable, secure, and performant data solutions.What Do You Need To Bring? B.S. degree or higher in Computer Science, Engineering, Data Science, Machine Learning, Statistics, or a related technical field, or equivalent professional experienceStrong software engineering fundamentals with the ability to write high quality, production ready code.Expert proficiency in Python, with strong experience in SQL and PySpark.Experience building, deploying, and operating production ML and GenAI systems.Strong experience within the Azure cloud ecosystem.Hands-on experience with containerization and orchestration (e.g., Docker, Kubernetes).Experience working with supervised and unsupervised learning models, including deep learning architectures.Practical experience supporting GenAI / LLM-based applications in production, including RAG-style systems.Experience optimizing model training, inference, and hyperparameter tuning for performance, latency, and cost efficiency.Experience implementing CI/CD pipelines, automated testing, and monitoring for ML and GenAI workflows.Experience working within Agile development practices.Strong documentation habits and the ability to communicate complex technical concepts clearly.Highly motivated self-starter with a strong sense of ownership, curiosity, and desire to build durable AI platforms.Our Company Abercrombie & Fitch Co. is a global, digitally led omnichannel specialty retailer of apparel and accessories catering to kids through millennials with assortments curated for their specific lifestyle needs.The company operates a family of brands, including Abercrombie & Fitch, YPB, abercrombie kids, Hollister and Gilly Hicks, each sharing a commitment to offer products of enduring quality and exceptional comfort that support global customers on their journey to being and becoming who they are. Abercrombie & Fitch Co. operates over 750 stores under these brands across North America, Europe, Asia and the Middle East, as well as the e-commerce sites abercrombie.com, abercrombiekids.com, and hollisterco.com.At Abercrombie & Fitch Co., we lead with purpose and always put our people first. We’re proud to offer equitable compensation and benefits, including flexibility and competitive Paid Time Off, as well as education and engagement events, including various Associate Resource Groups, volunteer opportunities and additional time off to give back to our global communities. Benefits & PerksAs an Abercrombie & Fitch Co. (A&F Co.) associate, you’ll be eligible to participate in a variety of benefit programs designed to fit you and your lifestyle. A&F Co. is committed to providing competitive and comprehensive benefits that align with our company’s culture and values, but most importantly – with you! We also provide competitive incentives to reward the commitment our associates have for moving our global business forward: Incentive bonus program401(K) savings plan with company matchAnnual companywide review process Flexible spending accounts Medical, dental and vision insurance Life and disability insurance Associate assistance program Paid parental and adoption leave Access to fertility and adoption benefits through Carrot Access to mental health and wellness app, HeadspacePaid Caregiver LeaveMobile StipendPaid time off and one paid volunteer day per year, allowing you to give back to your community Work from anywhere (Mondays and Fridays are “work from anywhere” days for most roles and six work from anywhere weeks per year) Seven associate wellness half days per year Merchandise discount on all of our brands Opportunities for career advancement, we believe in promoting from within Access to multiple Associate Resource Groups Global team of people who will celebrate you for being YOU! ABERCROMBIE & FITCH CO. IS AN EQUAL OPPORTUNITY EMPLOYERThis role allows for remote work across the U.S.. Therefore, in states and cities that require the hourly or salary compensation or pay range to be included in a job posting, the recruiting pay range for this position is $133,000 - $155,000. Factors that may be used to determine your actual salary may include your specific skills, your years of experience, your work location, comparison to other employees in similar or related roles, or market demands. The range may be modified in the future.