90 English-speaking jobs in Podlaskie Voivodeship

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.

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.

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.

Minimum 3 years of commercial experience in . NET (C#, Web API, Entity Framework). Strong experience with relational databases such as SQL Server or PostgreSQL. Solid understanding of Unit Testing, Git, and CI/CD pipelines. Practical knowledge of design patterns and software development best practices. A collaborative mindset and the ability to explain complex technical issues clearly.

Provides first-line legal support to business and support teams, including contract drafting, review, and negotiation. Supports compliance, GDPR, HR, and public tender processes. Collaborates with external law firms and assists with corporate matters.

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.

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).

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.