128 English-speaking jobs in Podlaskie Voivodeship

AI Engineer needed to develop scalable AI systems, including LLMs and Generative AI. Experience with Python, LLMs, backend frameworks, and cloud environments required.

Senior Implementation Engineer to drive enterprise SaaS implementations for large organizations. Develop solutions, partner with stakeholders, and ensure successful onboarding. Requires 3+ years of experience in IT/OT software, strong technical skills, and excellent communication.

Design Engineer / Business Analyst with 8+ years of experience in Creo Parametric and SOLIDWORKS sought for projects involving MBD and MCAD data management in PLM systems.

Lead Data Engineer (Databricks) will design, build, and implement scalable data architectures for high-volume simulation data. Responsibilities include developing data preprocessing pipelines, defining KPIs, and collaborating with data engineering, analytics, and data science teams. Requirements include a Master's degree in a related field, 4+ years of experience in Data Engineering, and strong experience with Databricks, Apache Spark, and Python.

Participate in projects developing and implementing design methodologies, including Model-Based Definition (MBD). Implement PLM systems, including MCAD data management functionalities. Lead CAD system transition and consolidation projects. Provide technical support in the field of solutions and products offered by the company.

This role involves conducting live reports, preparing and presenting topics on air, and building a network of contacts and information sources.

Conducts live reports, prepares and presents topics on air, proposes own topics, and builds a network of contacts and information sources. Requires 2 years of experience as a reporter in TV or radio, knowledge of social and political issues, and proficiency in English.

Execute Tosca regression tests, script, and troubleshoot within Tosca. Conduct manual testing until automation is implemented. Collaborate with teams, prepare daily reports in Jira.

Expert Backend Engineer to design and build large-scale, distributed, cloud-native backend systems. Drive architectural decisions and lead complex engineering initiatives. Develop secure, scalable, and high-performance microservices and APIs. Mentor developers and promote engineering excellence.

Design, develop, and maintain scalable data pipelines on AWS. Manage and optimize AWS services such as S3, Lambda, Glue, Redshift, and EMR. Collaborate with data scientists, analysts, and software engineers.

Senior SAP HCM Consultant needed for a project focused on managing and developing integrations between SAP HCM and SuccessFactors Employee Central. Responsibilities include analyzing change requests, implementing interface adjustments, and providing expert advice to HR departments. Requires over 5 years of SAP HCM experience, strong knowledge of SuccessFactors integration, and excellent communication skills.

Lead a team of engineers focused on accelerating developer productivity across the CI/CD lifecycle by building platform-oriented application infrastructures and tooling. Manage individual contributors, collaborate with Product teams, and own the outcomes of your unit. Architect and maintain scalable, reliable, and secure internal tooling via infrastructure as code.

AI Engineer with 3+ years of Python experience needed to develop scalable AI systems, including LLMs and GenAI. Responsibilities include transforming Data Science prototypes into production-ready solutions, building backend components, and ensuring code quality. Experience with backend frameworks (e.g., FastAPI) and databases (SQL/NoSQL) is required. Familiarity with Docker, Git, and CI/CD concepts is also needed. Optional experience with frontend frameworks and Data Science is a plus.

Digital Merchandiser for eCommerce clients, managing product visibility on e-retailer websites. Responsibilities include content creation, auditing, and optimization, client communication, and problem-solving. Requires 1+ year of eCommerce experience, advanced English, and proficiency in tools like Excel and PowerPoint.

Senior PPC Specialist will manage and optimize PPC campaigns across Google Ads, social channels, and other platforms. Develop and implement PPC strategies, analyze data, and collaborate with marketing teams. Requires 3+ years of experience, expertise in Google Search Ads, YouTube ads, and Meta Ads, and proficiency in analytics tools.

Junior Digital Merchandiser supports eCommerce projects, including brand store creation and management. Responsibilities include managing updates, launches, and promotions, presenting results to clients, and collaborating with a team. Requires good English (C1), experience in the digital industry, analytical skills, and attention to detail. UX/UI knowledge is a plus.

AI Engineer with 3+ years of Python experience sought 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 Docker, Git, and cloud environments (AWS, GCP, Azure) is required. Optional experience with frontend frameworks and Data Science is a plus.

Experienced Data Protection Consultant needed to guide clients in designing, implementing, and optimizing data protection strategies using Cohesity and Veritas NetBackup. Focus on ensuring business-critical data security, compliance, and high availability across physical, virtual, and cloud environments.

AI Engineer with 3+ years of Python experience needed to develop scalable AI systems, including LLMs and GenAI. Responsibilities include transforming Data Science prototypes into production-ready solutions, building backend components, and ensuring code quality. Experience with backend frameworks (e.g., FastAPI) and databases (SQL/NoSQL) is required. Familiarity with Docker, Git, and CI/CD concepts is also necessary. Optional experience with frontend frameworks and Data Science/Machine Learning is a plus.

AI Engineer to develop scalable AI systems, including LLMs and GenAI. Responsibilities include transforming Data Science prototypes into production-ready solutions, building backend components using Python and frameworks like FastAPI, and ensuring code quality. Requires at least 3 years of commercial experience in software engineering with Python, strong programming skills, experience with LLMs and Generative AI, and familiarity with backend frameworks, databases, Docker, Git, and CI/CD concepts.