170 English-speaking jobs in Lublin

Senior AI DevOps Engineer will architect, deploy, and scale AI/ML/GenAI systems, focusing on LLMs/SLMs in Azure cloud environments. Responsibilities include building and automating infrastructure, model lifecycle pipelines, and inference workflows. Requires 5+ years of experience in DevOps/Cloud Engineering with proven experience deploying LLMs/SLMs in production and strong Azure expertise.

Design, deploy, and manage AI/ML/GenAI systems at scale on Azure. Lead infrastructure, automation, and CI/CD pipelines for AI workloads. Provide technical guidance to stakeholders and clients.

AI DevOps Engineer specializing in deploying LLMs/SLMs in production, building scalable Azure infrastructure, and advising stakeholders. Requires 5+ years of DevOps/Cloud Engineering experience with strong Azure expertise and experience with Terraform, Ansible, CI/CD pipelines, and Kubernetes.

Analyze and resolve technical issues related to PwC's ITSM solution and Alteryx workflows supporting financial month-end closing processes. Prepare data models and reports in Power BI using DAX. Support gathering, analyzing, and understanding business and technical requirements. Provide 2nd-line support and resolve tickets. Configure ITSM solution using JSON files and analyze, modify, and create Alteryx workflows. Collaborate with support teams to ensure timely resolution of issues. Maintain documentation of support issues, solutions, and project changes.

Provide support and resolve tickets within SAP SuccessFactors Employee Central, analyze issues, and collaborate with IT teams. Lead minor projects, document solutions, and monitor integrations between third-party systems and SAP SF EC.

Lead a development team of developers and QA, contributing to the evolution of a test automation platform using C#, .NET, and Windows technologies.

Lead Infrastructure Engineer for Poland will oversee critical network operations, guide technical teams, manage major incidents, and ensure seamless service delivery. Requires 8+ years of experience in Network Engineering, 3+ years in a lead role, a Bachelor's degree in IT or related field, CCNP/CCIE certifications, and expertise in Cisco, Arista, ASA, Fortigate, Checkpoint, and ISE.

Lead AI DevOps Engineer responsible for architecting, deploying, and scaling AI/ML/GenAI systems (LLMs/SLMs) in production Azure environments. Requires 5+ years of experience in DevOps/Cloud Engineering with proven hands-on experience deploying LLMs/SLMs in production. Strong Azure expertise, scripting (Python + Bash/PowerShell), IaC (Terraform/Ansible), and CI/CD pipelines are essential.

AgileEngine seeks a Data Quality Specialist to monitor data streams, validate calculations, and collaborate with teams to resolve issues and enhance quality standards.

Lead AI DevOps Engineer responsible for architecting, deploying, and scaling AI/ML/GenAI systems (LLMs/SLMs) in production Azure environments. Requires 5+ years of experience in DevOps/Cloud Engineering with proven hands-on experience deploying LLMs/SLMs in production. Strong Azure expertise, scripting (Python + Bash/PowerShell), IaC (Terraform/Ansible), CI/CD pipelines, and Kubernetes are essential.

Remote AI DevOps Consultant specializing in deploying LLMs/SLMs on Azure. Requires 5+ years of experience in DevOps/Cloud Engineering with strong Azure expertise and experience deploying AI/ML/GenAI systems.

Lead the development of modern web applications, crafting high-performance, scalable, and reusable UI components using React. Drive technical decisions, mentor developers, and shape best practices in code quality, accessibility, and performance.

Design and deliver cloud-based data solutions for clients. Develop strategies for complex technical challenges and collaborate with stakeholders. Lead pre-sales activities and coach team members.

Power BI Developer (project-based role) will design and build reports and dashboards, analyze data sources, and support data ingestion processes. Requires 5+ years of BI/Data Analytics experience, 3+ years with Power BI, strong SQL knowledge, and excellent communication skills. Must be able to work independently or as a business entity in Poland.

Senior ML/AI Engineer will design, implement, and deploy GenAI/LLM-based solutions and production-grade ML models. Responsibilities include building and managing data pipelines, ML lifecycle systems, and MLOps/LLMOps frameworks. The ideal candidate has 5+ years of experience in Data Engineering, Backend, or ML Engineering with a strong understanding of cloud platforms (Azure or GCP) and MLOps/LLMOps tools.

Junior SAP BPC Planning Specialist will design and develop planning solutions with SAP BPC, focusing on building effective and efficient planning models. Utilize foundational knowledge of SAP Finance and Controlling modules to assist in the integration of financial processes with planning solutions. Collaborate with cross-functional teams to contribute to strategic project development. Engage in continuous learning and improvement within the SAP ecosystem.

Develop AI solutions for a travel platform, including user registration assistance, personalized recommendations, and local information tools. Requires advanced Python skills, machine learning libraries, and experience with generative AI and NLP techniques.

Lead the technical development of a cellular IoT security product. Responsibilities include design, documentation, implementation, and team oversight. Requires 7-12 years of software development experience, strong Java skills, database knowledge, and IP networking expertise. Cloud services and containerization experience are preferred.

Experienced Oracle Retail Cloud Functional and Techno-Functional Consultants are needed for large-scale implementations, upgrades, and support. Requires 5-15 years of experience in Oracle Retail projects, expertise in at least two modules (RMS, ReIM, ReSA, RTM, RPM, Allocations, RIB), and proficiency in SQL, PL/SQL, and FRICEW components.

SAP BI Consultant will design and develop applications using SAP technologies, collect requirements, propose solutions, implement ETL processes, design data models, and visualize data.