114 English-speaking jobs in Podlaskie Voivodeship

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, and cloud environments (AWS, GCP, Azure) is required.

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

Develop and maintain high-performance data processing platforms using Spark, Cloudera, Airflow, and Iceberg. Design and implement data pipelines for automotive, aerospace, and telecommunications projects. Collaborate with teams to understand data requirements and ensure seamless integration.

Lead the development and implementation of AI solutions, including machine learning, predictive modeling, and optimization. Translate business problems into data science problems and architect data pipelines. Requires 3+ years of experience designing and implementing scalable AI solutions, proficiency in Python and ML libraries, and experience deploying solutions in cloud environments (AWS or Azure).

Lead the development and implementation of scalable AI solutions, including Machine Learning, Predictive Modeling, Optimization, LLMs, NLP, Computer Vision, and GenAI. Translate business problems into data science problems and architect data pipelines. Coordinate with Data Engineering and Software Engineering teams to build AI applications.

Senior Data Engineer to develop and maintain a high-performance data processing platform for automotive data. Responsibilities include designing and implementing data pipelines, optimizing data workflows, and collaborating with cross-functional teams. Requires 5+ years of experience with Big Data technologies (Spark, Cloudera, Kafka, Airflow, NiFi, Docker, Iceberg), strong Python (or Java/Scala) skills, and experience in cloud environments.

Lead end-to-end UX design for consumer-facing EV driver apps (iOS, Android), responsive web, and complex B2B web platform experiences. Own art direction across product surfaces, establishing and guarding visual quality, consistency, and brand expression. Design intuitive experiences across both domains: driver apps (charger discovery, session management, payment flows) and B2B platform for charging operators.

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 align them with business goals. You will design solution architectures, create technical proofs of concept, and collaborate with sales, delivery, and engineering teams.

We are seeking an ambitious AI Engineer with a solid software engineering background in Python. You will work with an experienced team to develop scalable AI systems, including LLMs and GenAI, and transform Data Science prototypes into production-ready solutions. Responsibilities include building and enhancing backend components for AI systems using Python and frameworks like FastAPI, ensuring code quality, and participating in the deployment and maintenance of solutions in a cloud environment.

Addepto seeks a Pre-Sales Engineer to help clients leverage AI and data platforms. You will align technical solutions with business goals, act as a trusted advisor, and support technical discovery. Requirements: Undergraduate degree in a relevant field, experience in technical roles (AI/ML, data platforms, consulting), and strong understanding of cloud platforms (AWS, Azure, GCP).

Support and develop an Azure-based data integration solution focused on Azure Data Factory (ADF). Responsibilities include pipeline design, orchestration, monitoring, and continuous improvement. Experience with Python, SQL, ETL, Azure DevOps, and Power BI is 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.

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 engineering teams, and present findings to stakeholders.

Junior Data Engineer will design and develop data processing pipelines for streaming and batch data using technologies like Databricks, Airflow, and Dagster. Responsibilities include collaborating with the Data Science team on Machine Learning projects, developing data transformations, and translating business requirements into technical solutions.

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.

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.

Lead Data Engineer to design and develop scalable data management architectures and platform solutions using technologies like Spark, Hadoop, and AWS. Responsibilities include designing data governance processes, developing CI/CD and MLOps processes, and collaborating with the Data Science team. Requires 7+ years of experience in implementing Big Data systems, strong programming skills in Python or Java/Scala, and experience with cloud environments.

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 and deliver AI strategies for enterprise clients. Responsibilities include leading AI architecture design, evaluating AI frameworks and tools, and supporting the development and deployment of AI solutions. Requires a Bachelor's or Master's degree in a related field, experience with AI applications and modern AI technologies, and strong communication skills.

Lead the development and implementation of scalable AI solutions, including machine learning, optimization, NLP, and computer vision. Design AI architectures, research tools and technologies, and translate business problems into data science solutions. Collaborate with engineering teams to build AI applications and present findings to stakeholders.