Oferty dla Master praca Opole

03.07.2026 | Pełny etat | Opole | Capgemini PolskaIn collaboration with cloud engineering. Standardizing and promoting best practices in MLOps, model deployment, and platform operations. Partnering closely with product, data and change teams to align technical work with business priorities and upcoming AI use cases. Your profile Bachelor's or master's degree

03.07.2026 | Pełny etat | Opole | Capgemini PolskaOr Master’s degree in Data Science, Computer Science, Applied Mathematics or a related field. 7 years of experience in Data Science, including NLP, retrieval‑augmented systems, LLMs or applied AI solutions. Proven ability to lead Data Science teams and establish experimentation pipelines and evaluation

03.07.2026 | Pełny etat | Opole | Capgemini PolskaClosely with product, AI research, cloud, and change teams to translate needs into implementable solutions. Driving innovation by identifying and integrating new approaches and technologies in agentic and autonomous systems. Your profile Bachelor's or master's degree in computer science, Engineering

02.07.2026 | Pełny etat | Opole | Capgemini PolskaBachelor’s or Master’s degree in Business, Engineering, UX, Data or a related field. Experience working with feedback management, product operations, or user‑insight processes in digital platforms. Strong ability to analyze qualitative inputs, identify patterns and translate them into structured, actionable

02.07.2026 | Pełny etat | Opole | Capgemini PolskaProvisioning and troubleshooting. Your profile Bachelor’s or Master’s in Engineering, Computer Science or related field. Strong expertise in cloud infrastructure design (GCP preferred), networking and scalable architectures. Experience with Kubernetes, identity, environment isolation and infrastructure

02.07.2026 | Pełny etat | Opole | CapgeminiPlatforms. This includes supporting both use case delivery and the development of a Master Data Management (MDM) capability to standardise and codify engineering assets across programmes. Your task Design and develop data pipelines and data products within Databricks to support Augmented Delivery use cases