612 English-speaking jobs in Katowice

Develop, implement, and validate Machine Learning models to support business objectives. Design AI solutions for complex business challenges. Research, test, and select tools and technologies to meet business requirements. Understand client needs and translate business problems into data science problems.

Designs and builds scalable backend services and APIs using Python and FastAPI. Owns work end-to-end, from design through deployment and monitoring. Works with PostgreSQL, Docker, Azure services, and GitHub Actions. Integrates Agentic AI solutions. Collaborates with engineers, product owners, and stakeholders.

Design, develop, and maintain finance automation solutions using Redwood or comparable platforms. Build and integrate system interfaces across financial and enterprise systems.

Design, build, and operate reusable front-end building blocks for B2B and B2C customer solutions. Develop and operate plugins for the Backstage developer platform. Collaborate with other developers to build, maintain, and operate reusable API services.

As an AI Engineer at Netguru, you will implement Azure OpenAI API and RAG systems, fine-tune open source models, and experiment with ML techniques. You will design, develop, and deploy machine learning models, lead AI project implementations, and collaborate with cross-disciplinary teams.

Lead strategic SAP projects within the Order-to-Cash landscape, coordinating resources, defining scopes, and ensuring project milestones are met. Manage end-to-end project delivery, including risk management and user adoption.

Guides the technical foundation for Vaillant Group's AI strategy across key platforms, developing and enforcing AI standards and best practices. Collaborates with cross-functional teams to design and maintain robust AI solutions and supports the AI Architect with platform-specific expertise. Leads PoCs and MVPs to evaluate technical feasibility of use cases. Ensures alignment with AI ethics, security, and privacy standards.

Translate business requirements into analytical use cases (generative AI and machine learning) and drive innovation across the Vaillant Group. Apply machine learning and AI techniques to achieve company goals and evaluate solutions using metrics. Communicate results to stakeholders and develop production-ready AI/ML solutions.

Develop and enhance embedded software in C++ on Linux systems for innovative heating and cooling solutions. Collaborate with agile teams to create intuitive graphical user interfaces using Qt and integrate system components via communication protocols. Design and execute unit tests, analyze code quality, and support system-level testing.

Designs and implements advanced SAP Credit Management solutions based on S/4HANA and Financial Supply Chain Management. Translates business needs into functional concepts and configurations, including credit master data, risk categories, and automated credit checks. Supports global implementation projects, system enhancements, and international rollouts. Facilitates workshops with stakeholders to clarify expectations and provide expert guidance on best-practice Credit Management processes.

Lead Data Engineer will design and scale cloud data platforms, working with clients and engineers to define technical solutions. Responsibilities include leading technical decision-making, building data pipelines, and mentoring engineers. Requires 4+ years of experience as a Data Engineer in complex cloud data environments and strong experience with cloud platforms (Azure preferred), Python, SQL, and data architectures.

Senior DevOps Engineer will design, automate, and scale cloud infrastructure and delivery processes on Microsoft Azure. Responsibilities include leading architectural decisions, mentoring engineers, and collaborating with clients and stakeholders. Requires 4+ years of experience in a DevOps, Cloud, or similar engineering role with strong hands-on experience in Microsoft Azure and Terraform.

Senior Data Engineer will design, build, and scale cloud data platforms for clients. Responsibilities include designing data pipelines, leading technical design of cloud data architectures, and collaborating with stakeholders. Requires 4+ years of experience as a Data Engineer, 2+ years with cloud platforms (Azure preferred), strong Python and SQL skills, and expertise in DWH data modeling and ETL/ELT architectures.

Design, develop, and deploy advanced AI assistants using Microsoft Copilot Studio, Azure AI services, and the Power Platform. Shape architectural decisions, ensure security and scalability, and drive best practices in AI agent development.

Acts as a local CISO for external clients, advising on IT and cybersecurity risks, ensuring alignment with risk frameworks, and embedding security by design. Supports teams in identifying, assessing, and managing risks, and provides risk and security reporting.

Lead and own end-to-end delivery of AI, Machine Learning, Big Data, and broader IT/software projects for international enterprise clients. Act as the primary point of contact and trusted advisor for clients, managing relationships with senior stakeholders and ensuring alignment between business objectives and technical execution.

Senior AI Engineer with 5+ years of Python experience needed to develop scalable AI systems, including LLMs and GenAI. Responsibilities include transforming prototypes into production-ready solutions, building backend components, and ensuring code quality. Experience with LLMs, backend frameworks (e.g., FastAPI), and cloud environments (AWS, GCP, Azure) is required.

Lead Data Engineer will design and develop scalable data management architectures and platforms using technologies like Spark, Hadoop, and Iceberg. Responsibilities include designing data governance processes, collaborating with the Data Science team, and translating business requirements into technical solutions. Requires 5+ years of experience implementing Big Data systems, strong Python or Java/Scala skills, and familiarity with cloud environments (AWS preferred).

Lead the development, implementation, and validation of Machine Learning solutions. Design AI solution architectures and research, test, and select tools and technologies. Lead cross-functional teams, translate business problems into data science problems, and architect data pipelines. Present findings to stakeholders and prioritize tasks within an Agile/Scrum framework.

As a Solution Engineer, you will support clients in aligning technical solutions such as machine learning, LLM-based applications, and cloud data platforms with their business goals. You will design solution architectures, create technical proofs of concept, and collaborate with sales, delivery, and engineering teams.