86 English-speaking jobs in Podlaskie Voivodeship

Experienced UI/UX Designer needed to design interfaces for web and mobile applications. Must have 2+ years of experience, proficiency in Figma or Adobe XD, and strong English communication skills. Knowledge of Ant Design and UX principles are a plus.

Data Engineer to join a tech team. Analyze, organize, and build data systems and pipelines. Evaluate business needs, interpret trends, and conduct complex data analysis. Requires experience as a data engineer, technical expertise with data models and programming languages, and SQL database design experience. Fluent English required.

As a Solution Engineer, you will act as a technical advisor during pre-sales engagements, helping clients understand AI/ML and data platform capabilities and aligning them with business goals. You will design solution architectures, create technical proofs of concept, and collaborate with sales, delivery, and engineering teams.

As a Pre-Sales Engineer, you will act as a technical advisor during pre-sales engagements, helping clients understand AI/ML and data platform capabilities and aligning them with business goals. You will lead technical discovery sessions, design solution architectures, and create technical proofs of concept to support proposals. You will collaborate with sales, delivery, and engineering teams to ensure a smooth transition from pre-sales to project implementation.

AI Solution Architect will design end-to-end AI architectures, including data pipelines, model training environments, integrations, and MLOps strategies. Evaluate and select AI frameworks, tools, and models. Support decision-making processes for make vs. buy AI solutions. Ensure AI solutions comply with security standards, ethical guidelines, and enterprise reliability requirements. Contribute to the creation of AI strategy and roadmaps. Collaborate with product managers, data scientists, data engineers, and DevOps engineers.

AI Solution Architect will design end-to-end AI architectures, including data pipelines, model training environments, and MLOps strategies. Evaluate and select AI frameworks, tools, and models. Support decision-making processes for make vs. buy AI solutions. Collaborate with product managers, data scientists, data engineers, and DevOps engineers.