Ph3ROLE SUMMARY /h3 pThe Staff Engineer, AI Infrastructure MLOps Engineer is a senior hands-on technical leader responsible for architecting, building, and scaling Pfizer’s AI infrastructure and developer platforms. This role leverages extensive experience in cloud engineering, DevOps, and MLOps to deliver robust, high-performance solutions supporting advanced AI/ML workloads in biotechnology, healthcare, and enterprise technology. The successful candidate will drive innovation in automation, reliability, and scalability, enabling scientists and engineers to rapidly develop, deploy, and monitor machine learning models in production environments. /p h3ROLE RESPONSIBILITIES /h3 h3Platform Architecture Engineering /h3 ul liDesign, implement, and own large-scale cloud-based HPC and MLOps platforms supporting AI model training, genomic sequencing, and precision medicine. /li liArchitect multi-environment clusters (AWS, GCP, Azure), enabling GPU/FPGA workloads and advanced observability. /li liLead the development of developer and cloud platforms, including internal engineering accelerators and reusable toolsets. /li /ul h3Platform Catalog Developer Experience /h3 ul liDesign, implement, and manage unified platform catalogs using Backstage, enhancing developer experience and application metadata management. /li liDevelop custom plugins and APIs for Backstage to support internal engineering workflows and documentation. /li /ul h3Automation DevOps Excellence /h3 ul liBuild and maintain Python-based automation frameworks, CI/CD pipelines, and Infrastructure-as-Code (Terraform, Helm, Pulumi, AWS CDK). /li liOperationalize containerized solutions using Docker and Kubernetes, integrating MLflow, Kubeflow, and other orchestration platforms. /li liImplement robust automation for provisioning, configuring, and managing cloud resources across multiple environments. /li /ul h3MLOps Reliability Engineering /h3 ul liLead the implementation of Service Level Indicators (SLIs), Service Level Objectives (SLOs), and advanced observability (Prometheus, Grafana, PagerDuty). /li liDevelop and maintain APIs and services for model management, feature stores, and inference pipelines. /li liOperationalize ML model serving at scale using frameworks such as TensorFlow Serving, TorchServe, KServe, and Seldon Core. /li liEnsure compliance with industry standards (e.g., HIPAA, FDA) for data protection and reliability. /li /ul h3Collaboration Leadership /h3 ul liMentor engineers and lead cross-functional teams to deliver integrated solutions. /li liChampion engineering excellence through design documentation, code reviews, and testing automation. /li liPresent at industry summits, author technical proposals, and contribute to open-source projects (Kubernetes, Helm, Go, Envoy). /li /ul h3Continuous Improvement /h3 ul liDrive agile delivery, sprint planning, and performance optimization. /li liLead incident response and disaster recovery initiatives for mission-critical platforms. /li liFoster a culture of shared ownership, transparency, and innovation /li /ul pbBASIC QUALIFICATIONS /b /p ul li7+ years of hands-on software engineering experience in cloud infrastructure, DevOps, and MLOps. /li liDeep expertise in Python, Kubernetes, Terraform, Helm, and CI/CD pipeline development. /li liProven experience architecting and operating containerized solutions on AWS, GCP, and Azure. /li liStrong knowledge of Infrastructure-as-Code, distributed systems, and production system reliability. /li liBachelor’s or Master’s degree in Computer Science, Engineering, or related field. /li /ul h3PREFERRED QUALIFICATIONS /h3 ul liExpertise in AWS cloud services (EC2, S3, Lambda, EKS, SageMaker, API Gateway, CloudFormation, IAM, etc.). /li liExperience deploying and customizing Backstage as a unified catalog for teams, services, and technical documentation. /li liExperience building and deploying microservices and REST/gRPC APIs for AI model delivery. /li liFamiliarity with MLflow, Kubeflow, and other MLOps orchestration platforms. /li liProficiency with model serving frameworks (TensorFlow Serving, TorchServe, KServe, Seldon Core, BentoML, etc.). /li /ul pWork Location Assignment: Hybrid Europe - Any Pfizer Site /p h3Purpose /h3 pbBreakthroughs that change patients' lives /b... At Pfizer we are a patient-centric company, guided by our four values: courage, joy, equity and excellence. Our breakthrough culture lends itself to our dedication to transforming millions of lives. /p h3Digital Transformation Strategy /h3 pOne bold way we are achieving our purpose is through our company-wide digital transformation strategy. We are leading the way in adopting new data, modelling and automated solutions to further digitize and accelerate drug discovery and development with the aim of enhancing health outcomes and the patient experience. /p h3Flexibility /h3 pWe aim to create a trusting, flexible workplace culture which encourages employees to achieve work life harmony, attracts talent and enables everyone to be their best working self.Let’s start the conversation! /p h3Equal Employment Opportunity /h3 pWe believe that a diverse and inclusive workforce is crucial to building a successful business. As an employer, Pfizer is committed to celebrating this, in all its forms – allowing for us to be as diverse as the patients and communities we serve. Together, we continue to build a culture that encourages, supports and empowers our employees. /p h3Disability Inclusion /h3 pOur mission is unleashing the power of all our people and we are proud to be a disability inclusive employer, ensuring equal employment opportunities for all candidates. We encourage you to put your best self forward with the knowledge and trust that we will make any reasonable adjustments to support your application and future career. Your journey with Pfizer starts here! /p pPursuant to Article 24(6) of the Act of June 24, 2024 on the protection of whistleblowers, Pfizer Polska Sp. z o.o. and Pfizer Trading Polska Sp. z o.o. declare that they have adopted a joint internal reporting procedure, which, in accordance with the provisions of the aforementioned Act, is also available to persons applying for employment on the basis of an employment relationship or other legal relationship constituting the basis for providing work or services or performing functions. The content of the procedure is made available upon request sent to the contact person or to the email address /p /p #J-18808-Ljbffr