Principal MLAI Engineer

Who are we

Job Summary
As 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 & Culture
You 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 modelswhether classical algorithms or complex agentic LLM workflowsare deployed quickly safely and at enterprise scale.

Beyond building highly reliable production systems we deeply value intellectual curiosity and foundational innovation. We dont 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 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.

Responsibilities

• Technical Leadership & Architecture: Lead the end-to-end design and architecture of scalable production-ready AI/ML systems integrating them seamlessly into broader enterprise architectures

• Full-Stack AI Development: Architect build and deploy a diverse portfolio of AI solutionsranging from classical ML models (regression classification clustering) to advanced generative AI and Agentic applications

• Production Engineering: Write exceptionally clean optimized and maintainable production code. Apply strong software engineering fundamentals to bridge the gap between data science and robust software engineering

• Cloud & 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 deployment

• R&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 roadmap

• Cross-Functional Collaboration: Partner with product teams data engineers and business stakeholders to translate complex business challenges into reliable ML capabilities

• Mentorship: Elevate the engineering team by participating in peer reviews defining coding standards and mentoring junior to mid-level ML engineers

Qualifications

• Education: Masters (MSc) or PhD in Computer Science Machine Learning Data Science Mathematics or a closely related technical field

• Experience: Vast industry experience (typically 8 years) designing building and running complex AI/ML projects in live production environments

• Programming Mastery: Expert-level proficiency in Python. Strong grasp of software engineering principles system design data structures and cross-system integration

• Domain Expertise: Deep hands-on knowledge of both traditional machine learning algorithms deep learning/GenAI ecosystems and Agentic workflows

• Cloud & Containerization: Extensive hands-on experience deploying scalable services on one of major cloud platforms (AWS GCP or Azure) using Docker Kubernetes or serverless architectures

• Communication: Excellent ability to distill and communicate highly technical concepts to executive leadership non-technical stakeholders and cross-functional teams

The targeted pay range for this position in the following location is / locations are:

Poland - Warsaw Office WAO : 295000 - 487000 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 Benefits

As an employee you become important to Equinixs 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 were providing you with the best package possible. So wherever you are in your career and life youll 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.

Equinix is committed to ensuring that our employment process is open to all individuals including those with a disability. If you are a qualified candidate and need assistance or an accommodation please let us know by completing this form.

Equinix is an Equal Employment Opportunity and in the U.S. an Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to unlawful consideration of race color religion creed national or ethnic origin ancestry place of birth citizenship sex pregnancy / childbirth or related medical conditions sexual orientation gender identity or expression marital or domestic partnership status age veteran or military status physical or mental disability medical condition genetic information political / organizational affiliation status as a victim or family member of a victim of crime or abuse or any other status protected by applicable law.

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