58 English-speaking jobs in Białystok

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.

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.

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.

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.

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).

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.

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.

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.

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.

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.

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 Cyber Security Consultant needed to guide local teams, coordinate security actions, and ensure smooth operation of key cyber processes for a global FMCG company. Requires 5+ years of cybersecurity experience, cloud security knowledge (Azure/AWS), and strong communication skills. Fluency in English and residing in Poland are required.

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.

Senior Product Owner with 5+ years of experience in software delivery, actively using AI tools in professional work beyond single-prompt usage. Must have a personalized AI workflow for BA/PO tasks and understand how LLMs and AI agents function. Strong written communication, client-facing delivery experience, and familiarity with Agile practices are required.

Senior SAP ABAP Developer with 6+ years of experience in classical and object-oriented ABAP (7.40+), RAP, CDS, OData, SAP Fiori/UI5, and integration technologies.

Forward Deployed Engineer will design, build, and maintain AI/LLM pipelines, Django REST APIs, and web applications using React. Responsibilities include working with business users to understand workflows, defining KPIs, and presenting outcomes to stakeholders.