159 English-speaking jobs in Białystok

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, embedded/IoT systems, and large data volume handling required. Fluency in English and at least one high-performance programming language is essential.

Senior Software Engineer / Architect will design software architecture, lead software work packages, and develop software solutions. Requires 5+ years of experience with Java, Spring Boot, C++, Python, HTML, CSS, Angular, and DevOps practices. Fluency in English is required. Experience with Selenium, cloud backends, UX design, and secure software design is a plus.

Senior .NET Developer / Team Leader needed for a global IT consulting company. Develop and enhance applications using .NET / .NET Core (C#), design REST APIs, and work with databases (SQL, EF Core). Must have 7+ years of experience in .NET / .NET Core, excellent C# knowledge, and experience as a leader or tech lead.

Python Developer will design, develop, and maintain scalable Python applications integrating AI/ML solutions. Responsibilities include building machine learning models, APIs, and data pipelines. Requires solid Python development experience, AI/ML libraries knowledge, and familiarity with APIs from leading LLM providers.

Kruko seeks experienced Ruby on Rails and Python developers to design, develop, and maintain backend applications. Requires 4+ years of experience with both Ruby on Rails and Python, including experience with RESTful APIs, multi-agent applications, and relational databases. Strong English communication skills are essential.

Senior AI Engineer needed to design, implement, and optimize AI/ML solutions. Experience with large language models (GPT-4, LLaMA, Copilot, GROK), Python, Azure cloud services, and MLOps practices required.

Software Architect needed for embedded systems and IoT. Design scalable software architecture for data integration, synchronization, and processing. Define interfaces, communication protocols, and data structures. Lead development teams and ensure software quality and compliance.

Data Scientist specializing in e-commerce required. Must have 3-5 years of experience in Data Science, including deploying ML models to production environments. Experience with Python, Scala, advanced SQL, Airflow, and Looker Studio is essential. Strong communication skills and the ability to translate business challenges into ML problems are needed.

The Commercial Project Lead / Project Manager supports the global launch and establishment of a product category portfolio. The role coordinates market and product launches, manages commercial information, and ensures effective execution of commercial processes.

Experienced Project Manager needed for strategic banking initiatives. Manage scope, schedule, budget, and resources. Lead and motivate teams, ensure project success, and communicate effectively with stakeholders. Proven experience in the financial/banking sector (regulatory) required.

Lead and grow a data engineering team, contributing to the design and implementation of data platforms and pipelines. Ensure systems are scalable, efficient, and compliant. Collaborate with cross-functional teams to shape roadmaps and deliver impactful capabilities.

Senior Java Software Engineer will modernize legacy financial systems using AI tools. Responsibilities include refactoring code, implementing modern architectures, and collaborating with teams. Requires 7+ years Java experience, legacy system modernization experience, and hands-on AI development tool experience.

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 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.

Data Engineer to work on projects involving automotive data, aerospace data, and telecommunications data. Responsibilities include developing and maintaining data processing platforms, designing data pipelines, and optimizing data workflows. Requires 3+ years of experience with Big Data systems, Spark, Cloudera, Kafka, Airflow, NiFi, Docker, and Iceberg. Strong Python (or Java/Scala) programming skills and experience with cloud environments are also required.

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.

Participate in paid online and in-person market research studies. Complete surveys, focus groups, and provide product feedback. Must have a working camera, reliable internet, and the ability to follow instructions.

AI Engineer needed for projects involving LLMs, Generative AI, and backend development. Requires 3+ years of Python experience, strong OOP design skills, and experience with Docker, Git, and CI/CD. Familiarity with frontend frameworks is a plus.

Senior Implementation Engineer to drive enterprise SaaS implementations for large organizations. Develop solutions, partner with stakeholders, and ensure successful onboarding. Requires 3+ years of experience in IT/OT software, strong technical skills, and excellent communication. Fluency in English is required.

Lead Data Engineer (Databricks) will design, build, and implement scalable data architectures for high-volume simulation data. Responsibilities include developing data preprocessing pipelines, defining KPIs, and collaborating with data engineering, analytics, and data science teams. Requirements include a Master's degree in a related field, 4+ years of experience in Data Engineering, and strong experience with Databricks, Apache Spark, and Python.