141 English-speaking jobs in Podlaskie Voivodeship

Senior AI Engineer to develop GenAI applications. 5+ years experience in Python (FastAPI, Pandas, NumPy), Retrieval Augmented Generation (RAG), and prompt engineering. Bachelor's or Master's degree in a related field. Azure cloud services experience required.

Software Architect needed for embedded systems and IoT. Design scalable, high-performance software architecture for data integration, synchronization, and processing from multiple sensors. Minimum 5 years software development experience, including 3 years as a Software Architect, with expertise in real-time data processing systems or embedded/IoT systems. Fluent in at least one programming language used in high-performance systems. Experience designing systems to handle large data volumes, including database optimization and streaming architecture. Strong analytical and problem-solving skills. Fluency in English required.

Implement AI-driven solutions, focusing on LLMs, agent architectures, and data-centric engineering. Develop Python-based backend components, build RAG pipelines, and integrate with external systems. Collaborate with clients and developers on agile projects.

Data Engineer needed to build and optimize data pipelines and flows for financial sector clients. Experience with ETL/ELT processes, data warehousing, and data wrangling required. Proficiency in SQL and at least one programming language (Python, Java, Scala, R) is essential.

Business Analyst to join consulting or implementation teams for IT projects in the financial sector, primarily insurance. Responsibilities include business analysis, defining functional requirements, testing solutions, and collaborating with developers and architects. Requires a bachelor's degree, fluency in English (C1 level), and understanding of agile methodologies.

Senior Consultant for IT projects in the financial sector, particularly insurance. Leads complex business analysis, functional design, and IT implementations. Requires 5+ years of experience in the financial sector and strong team management skills.

Technical Sales Specialist for data center solutions. Conducts product demonstrations, provides technical consultation, and builds client relationships. Requires 3-5 years of experience as a Data Center Technician, Field Engineer, or similar role, plus sales experience.

Account Director to manage a team, develop eCommerce strategies, and build client relationships. Requires 5+ years of eCommerce and team management experience, strategic business consulting, and fluency in English (C1 level).

Senior Python Developer will implement and maintain scalable backend services and platform components. Collaborate with cross-functional teams and clients to deliver new features and resolve issues. Diagnose and resolve complex technical problems. Share knowledge and best practices within a team.

Senior Data Platform Engineer will design and implement scalable data pipelines using Spark and Python to process large datasets. Responsibilities include developing lakehouse capabilities with Delta Lake and Iceberg, integrating dbt for data modeling, and collaborating with teams to provide curated datasets for reporting and analytics.

Partner with Data Science teams to deploy production-ready machine learning models. Design, implement, and maintain scalable ML infrastructure and CI/CD pipelines. Establish and implement MLOps best practices.

Software Architect needed for design and development of scalable, high-performance software architecture for data integration, synchronization, and processing from sensors. Experience in real-time data processing systems, embedded/IoT systems, and large data handling is required.

Project Manager to lead Energy & Sustainability initiatives for a major e-commerce client. Develop project plans, oversee execution, manage subcontractors, and ensure projects meet sustainability goals.

Software Architect needed for design and development of scalable, high-performance software architecture for data integration, synchronization, and processing from multiple sensors. Experience in real-time data processing systems or embedded/IoT systems required. Fluency in English and at least one programming language used in high-performance systems is essential.

Senior Software Engineer to design software architecture, manage work packages, and integrate AI/ML models into data pipelines. Requires 5+ years of Java, Spring Boot, Python, and DevOps experience.

Manages day-to-day operational performance of assigned teams to achieve revenue and cost targets. Implements operating models to drive efficiency and consistency. Builds strong client relationships, manages service delivery, and provides performance reports. Leads and develops teams, sets performance expectations, and coaches for growth. Contributes to business planning, aligns team goals with strategic objectives, and supports innovation. Ensures compliance with ISO standards and promotes a safe and inclusive workplace.

Senior Software Engineer will design, write, test, deploy, and support Relativity software products. Focus on Import/Export services, building and scaling infrastructure for secure data movement. Requires advanced React with TypeScript, 5+ years with C#/.NET, and experience designing and operating distributed SaaS systems.

Lead the design and implementation of Machine Learning solutions, ensuring alignment with project objectives. Research, test, and select tools and technologies to meet business requirements. Understand client needs and translate business problems into data science problems. Architect and oversee the implementation of data pipelines and workflows. Present findings and recommendations to stakeholders.

Lead Data Engineer to design and develop scalable data management architectures, infrastructure, and platform solutions for streaming and batch processing using Big Data technologies. Responsibilities include designing and implementing data governance and data management processes, collaborating with the Data Science team, and translating business requirements into technical solutions. Requires 7 years of experience in implementing, developing, or maintaining Big Data systems, strong programming skills in Python or Java/Scala, and familiarity with technologies like Spark, Cloudera, Airflow, Kafka, NiFi, Docker, Kubernetes, and Iceberg.

Lead the design, implementation, and validation of Machine Learning solutions. Research, test, and select AI solutions to meet business requirements. Understand client needs and translate business problems into data science problems. Architect and oversee the implementation of data pipelines and workflows. Present findings and recommendations to stakeholders.