166 English-speaking jobs in Białystok

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.

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.

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.

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.

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.

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.

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.

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.

Data Scientist / ML Engineer will design, implement, and validate Machine Learning solutions. Responsibilities include understanding client needs, translating business problems into data science problems, and developing scalable AI solution architectures. 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).

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).

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.

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.

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.

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.

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.

Senior Data Scientist / ML Engineer will design, implement, and validate Machine Learning models to support business objectives. Responsibilities include researching, testing, and selecting AI solutions, understanding client needs, and translating business problems into data science problems. Requires 5+ years of experience in AI solutions, proficiency in Python and ML libraries, and experience deploying solutions in cloud environments.

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.

Senior Data Engineer to design, develop, and maintain Azure Data Factory pipelines. Responsibilities include pipeline orchestration, monitoring, and optimization, as well as ETL/ELT processes and data warehouse support. Requires strong Python, SQL, and Azure experience.

Senior Data Engineer will design and develop data processing pipelines, architect data platforms, and collaborate with Data Science teams on Machine Learning projects. Requires 5+ years of experience implementing Big Data systems, strong Python and SQL skills, and expertise in technologies like Databricks, Airflow, and Spark.

Data Engineer to design and develop data platforms, pipelines, and applications using Databricks, Spark, Airflow, and other Big Data technologies.