Principal ML/AI Engineer

Who are we?Equinix is the world’s digital infrastructure company®, shortening the path to connectivity to enable the innovations that enrich our work, life and planet. A place where tech thinkers and future builders turn bold ideas into breakthrough experiences, we welcome your unique perspective.Help us challenge assumptions, uncover bias, and remove barriers—because progress starts with fresh ideas. You’ll find belonging, purpose, and a team that welcomes you—because when you feel valued, you’re empowered to do your best work.Job SummaryAs a Principal ML/AI Engineer, you will lead the design, architecture, and deployment of cutting-edge AI systems from concept to production. You are a full-stack ML practitioner who seamlessly blends advanced software engineering with deep expertise in applied machine learning. Moving beyond pure research, you will build robust, scalable, and production-grade solutions that leverage both classical ML algorithms and state-of-the-art Large Language Models (LLMs) and Agentic frameworks. Acting as a technical anchor, you will drive AI innovation across cloud environments and set the standard for ML engineering excellence.Our Engineering Environment & CultureYou will join a fast-paced, agile environment where rapid iteration meets engineering rigor. We operate on a modern, cloud-native infrastructure, heavily utilizing containerized microservices and robust CI/CD pipelines. This ensures our machine learning models—whether classical algorithms or complex agentic LLM workflows—are deployed quickly, safely, and at enterprise scale. Beyond building highly reliable production systems, we deeply value intellectual curiosity and foundational innovation. We don’t just consume AI; we actively contribute to the field. Our teams publish research papers on novel methodologies, and we foster a culture that encourages exploring the unknown. In this role, you will find the rare balance of driving high-impact production engineering while having support to research new AI approaches and author future publications.ResponsibilitiesTechnical Leadership & Architecture: Lead the end-to-end design and architecture of scalable, production-ready AI/ML systems, integrating them seamlessly into broader enterprise architecturesFull-Stack AI Development: Architect, build, and deploy a diverse portfolio of AI solutions—ranging from classical ML models (regression, classification, clustering) to advanced generative AI and Agentic applicationsProduction Engineering: Write exceptionally clean, optimized, and maintainable production code. Apply strong software engineering fundamentals to bridge the gap between data science and robust software engineeringCloud & MLOps Infrastructure: Design and optimize ML workflows and pipelines in cloud environments (GCP, AWS, or Azure). Implement rigorous MLOps practices, including CI/CD, continuous training, model tracking, and automated deploymentR&D and Innovation: Evaluate and integrate the newest frameworks and methodologies in the LLM/Agentic space. Influence senior leadership on "build vs. buy" decisions and shape the long-term AI technology roadmapCross-Functional Collaboration: Partner with product teams, data engineers, and business stakeholders to translate complex business challenges into reliable ML capabilitiesMentorship: Elevate the engineering team by participating in peer reviews, defining coding standards, and mentoring junior to mid-level ML engineers QualificationsEducation: Master’s (MSc) or PhD in Computer Science, Machine Learning, Data Science, Mathematics, or a closely related technical fieldExperience: Vast industry experience (typically 8+ years) designing, building, and running complex AI/ML projects in live production environmentsProgramming Mastery: Expert-level proficiency in Python. Strong grasp of software engineering principles, system design, data structures, and cross-system integrationDomain Expertise: Deep hands-on knowledge of both traditional machine learning algorithms, deep learning/GenAI ecosystems and Agentic workflowsCloud & Containerization: Extensive hands-on experience deploying scalable services on one of major cloud platforms (AWS, GCP, or Azure) using Docker, Kubernetes, or serverless architecturesCommunication: Excellent ability to distill and communicate highly technical concepts to executive leadership, non-technical stakeholders, and cross-functional teamsThe targeted pay range for this position in the following location is / locations are: Poland - Warsaw Office WAO : 295,000 - 487,000 PLN / Annual Our pay ranges reflect the minimum and maximum target for new hire pay for the full-time position determined by role, level, and location.The pay range shown is based on our compensation structure in place at the time of posting and may be updated periodically based on business needs. Individual pay is based on additional factors including job-related skills, experience, and relevant education and/or training. The targeted pay range listed reflects the base pay only and does not include bonus, equity, or benefits. Employees are eligible for bonus, and equity may be offered depending on the position.Equinix BenefitsAs an employee, you become important to Equinix’s success. We ensure all your benefits are in line with our core values: competitive, inclusive, sustainable, connected and efficient. We keep them competitive within the current marketplace to ensure we’re providing you with the best package possible. So, wherever you are in your career and life, you’ll be able to enhance your experience and bring your whole self to work.Employee Assistance Program: An Employee Assistance program is available to all employees. Core Benefits - Pension: You will be enrolled in the employee capital plan or pension, known as PPK, a contributory pension scheme for you and your employer to save funds intended for withdrawal on retirement. Private Medical Insurance: You may enroll yourself and eligible dependents in Priva