145 English-speaking jobs in Białystok

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.

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/Lead DevOps CI/CD Pipeline Engineer to design, implement, and optimize GitLab Ultimate-based CI/CD environments. Responsibilities include defining Dev Ops workflows, enhancing IT security, and collaborating with development teams. Requires 5+ years of relevant experience, 2+ years with GitLab Ultimate, and expertise in Terraform, Ansible, Kubernetes, and cloud platforms.

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).

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 architecting data pipelines. Requires 5+ years of experience in AI, proficiency in Python and ML libraries, and knowledge of cloud environments (AWS or Azure).

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.

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 platforms, pipelines, and applications using Databricks, Airflow, Spark, and other Big Data technologies. Experience with cloud environments (Azure preferred), data modeling, and SQL is required.

This role involves conducting live reports, preparing and presenting topics on air, and building a network of contacts and information sources.

Senior SAP HCM Consultant needed for a project focused on managing and developing integrations between SAP HCM and SuccessFactors Employee Central. Responsibilities include analyzing change requests, implementing interface adjustments, and providing expert advice to HR departments. Requires over 5 years of SAP HCM experience, strong knowledge of SuccessFactors integration, and excellent communication skills.

Experienced Guidewire Business Analyst needed for long-term project with international insurance client. Requires 4+ years experience in insurance/finance, strong Guidewire (PolicyCenter, BillingCenter) skills, and understanding of insurance processes.

Experienced Guidewire Developer to join a dynamic international team. Lead technical development, mentor developers, and drive software processes. Implement and configure Guidewire modules, integrate with external systems, and support recruitment.

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 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 design and develop data platforms using Databricks, Spark, and other Big Data technologies. Projects include data platform development for aerospace companies, data platform transformation for an energy management association, and data transformation pipelines for a global car manufacturer. Requires 3+ years of experience implementing Big Data systems, strong Python and SQL skills, and expertise in cloud environments (Azure preferred).

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.

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 Python or Java/Scala skills, and a Master's or Ph.D. in a related field.