145 English-speaking jobs in Podlaskie Voivodeship

Develop and maintain backend services using Go (Golang) and build frontend components with Vue.js. Contribute to a large-scale system transformation, migrating from monolithic systems to microservices, Oracle to MongoDB, and Azure to STACKIT.

Designs, implements, and maintains automated test solutions for web, API, and mobile applications. Executes functional, integration, acceptance, and automated tests. Develops and maintains automated test frameworks using Selenium WebDriver or similar tools.

Software Delivery & QA Consultant will bridge the gap between business and technology in complex IT transformations for financial institutions. Responsibilities include conducting business analysis, defining functional requirements, promoting QA standards, and ensuring solution quality throughout the project lifecycle. Requires 3+ years of experience in IT consulting, business analysis, or solution delivery, understanding of software delivery lifecycle, and strong analytical and communication skills.

Experienced Logistics Functional Consultant needed for Oracle E-Business Suite (EBS) implementations. Focus on Inventory, WMS, BOM, WIP, and Costing modules. Lead system design, configuration, and process improvement initiatives. Serve as subject matter expert and escalation point for complex application issues. Minimum 7 years of hands-on EBS experience required.

Senior AI Engineer will develop scalable AI systems, including LLMs and GenAI, transforming Data Science prototypes into production solutions. Responsibilities include building and enhancing backend components using Python and frameworks like FastAPI, ensuring code quality, and participating in deployment and maintenance in a cloud environment.

Lead the development, implementation, and validation of Machine Learning solutions. Design AI solution architectures, research and select tools and technologies, and translate business problems into data science problems. Architect and oversee data pipelines and workflows, coordinate with Data Engineering and Software Engineering teams, and present findings to stakeholders.

AI Engineer to develop scalable AI systems, including LLMs and GenAI. Build backend components using Python and frameworks like FastAPI. Experience with cloud environments (GCP, AWS, Azure) and software engineering principles required.

Consult on complex IT transformations for financial institutions, bridging business and technology. Drive Quality Assurance standards, DevOps, and software delivery engineering. Analyze requirements, design test scenarios, and prepare client-facing materials.

Microsoft 365 Consultant will design and develop Power Platform solutions for clients. Responsibilities include collaborating with clients, conducting workshops, and managing project timelines. Requires 3+ years of experience with Power Apps, Power Automate, and Power BI. Strong communication and project management skills are essential.

AI Engineer with 3+ years of Python experience sought to develop scalable AI systems, including LLMs and Generative AI. Responsibilities include building backend components, ensuring code quality, and participating in deployment and maintenance. Experience with Docker, Git, CI/CD, and cloud environments (AWS, GCP, Azure) is required.

AI Solution Architect will design end-to-end AI architectures, evaluate AI frameworks and tools, and support the development and deployment of AI solutions.

Design, implement, and validate scalable AI solutions using Machine Learning, Predictive Modeling, Optimization, LLMs, NLP, Computer Vision, and GenAI. Develop ML algorithms from scratch to production deployment, leveraging Python and ML libraries (Scikit-Learn, PyTorch/Tensorflow). Deploy solutions in cloud environments (AWS or Azure) and possess knowledge of MLOps practices, Kubernetes, and Docker.

Experienced Business Analyst to support IT projects. Analyze client needs, lead workshops, and translate requirements into actionable solutions. Minimum 4 years of experience in business analysis within IT projects.

Develop and maintain RPA solutions using UiPath, create Azure-based automations, and support development within Microsoft Power Platform.

Senior Salesforce Marketing Cloud Architect will design and implement scalable solutions within the Salesforce Marketing Cloud ecosystem. Collaborate with cross-functional teams to translate business requirements into technical designs. Minimum 5 years of experience in Salesforce Marketing Cloud required.

Data Engineer to develop and maintain data processing platforms for automotive, aerospace, and telecommunications clients. Projects involve Spark, Cloudera, Airflow, Iceberg, Python, AWS, Azure, and Databricks. Requires 3+ years of experience with Big Data systems, data governance, and cloud environments.

Senior Data Engineer to design and develop data processing platforms for automotive and aerospace clients. Requires 5+ years of experience with Big Data technologies (Spark, Cloudera, Airflow, Kafka), cloud environments (AWS), and programming languages (Python, Java/Scala). Excellent communication and client management skills are essential.

Support and develop an Azure-based data integration solution focused on Azure Data Factory (ADF). Design, develop, and maintain ADF pipelines, including orchestration, parameterization, and trigger management. Translate business requirements into technical solutions, collaborating with the Product Owner and Architect. Develop and maintain Python-based components and contribute to CI/CD processes in Azure DevOps.

Solution Engineer to help clients leverage AI and data platforms. Align technical solutions with business goals, including machine learning, LLMs, and cloud data platforms. Provide technical expertise during pre-sales engagements and support solution design and implementation. Requires experience in AI/ML, cloud platforms, data engineering, and strong communication skills.

AI Solution Architect will design scalable AI solutions, identify high-impact use cases, and bring AI initiatives from concept to production. Responsibilities include leading AI architecture design, evaluating AI frameworks and tools, and ensuring AI solutions meet security and ethical standards. Requires a Bachelor's or Master's degree in a related field, experience with AI applications and modern AI technologies, and strong communication skills.