We use technical cookies and visit statistics: Yandex Metrica and Zorky's own de-identified visit log (cookie zk_aid). We never collect form contents, search text or full IP addresses, and never sell data. Opt out with the button below, or with Global Privacy Control or Do Not Track in your browser. More about cookies and statistics.
Zorky CRMZorky CRM
EN|RU
@termdocs
← All jobs

👉 Senior QA Automation Specialist

seniorremoteWrocław, PLScore 68/1002w ago
Stack
API TestingPactPlaywrightAppiumJava/Kotlin/TypeScript/JavaScriptappiumawsazureci/cdclouddatabricksgcp
Show company and link
Free. Sign in with email.
Apply
Upload your CV — we will connect you with the employer directly through our pool.
Send your CV →
Description
Xebia is a global AI-first, digital transformation, and engineering partner. With over 25 years of experience and a team of 5,000 professionals across 16 countries, we help organizations design and build scalable products, platforms, and data-driven solutions. We specialize in Artificial Intelligence, Data and Cloud, Intelligent Automation, and Digital Products, combining deep technical expertise with a strong focus on engineering excellence and a people-first culture. In the CEE region, we’re a team of nearly 1,000 experts delivering modern applications, data platforms, and AI solutions for clients such as Millennium, ING, Play, Edenred, Arabian Drilling, FedEx, Leroy Merlin, Truecaller, Volotea, Schmitz Cargobull, and many, many more. We work with leading technologies including AWS, Azure, GCP, Databricks, and Snowflake, and combine strong engineering culture with a consulting mindset and a continuous focus on growth and knowledge sharing. 🟣 About the role We are looking for a Mid AI/ML Engineer to join the team responsible for the end-to-end delivery of AI and Generative AI solutions - from ideation and experimentation to production and continuous improvement. In this role, you will work on real-world AI use cases supporting dealer operations, back-office processes, document processing, decision-support systems, and intelligent data platforms. You will take ownership of machine learning solutions across their lifecycle, working closely with Data Engineers, MLOps Engineers
Full description, company and the link to apply — after you sign in. Sign in
Employer contacts (email/phone/telegram) are hidden from the public preview — send your CV, and we will connect you directly.
Urgent question? Message @termdocs