154 English-speaking jobs in Podlaskie Voivodeship

Business Analyst to join a consulting team supporting IT projects for financial institutions, primarily insurance companies. Responsibilities include business analysis, defining functional requirements, testing solutions, and collaborating with developers. Requires a bachelor's degree, fluency in English (C1 level), and understanding of agile methodologies.

System-Level Modeling Engineer needed for a project with a global technology leader. Develop models, firmware, and embedded software for silicon components. Collaborate with hardware and software architects. Requires a Bachelor's degree, 5+ years of embedded software development experience, proficiency in C/C++, SystemC, and debugging tools.

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 designing and implementing scalable AI solutions, proficiency in Python and ML libraries, and experience deploying solutions in cloud environments (AWS or Azure).

Lead the design, development, and implementation of scalable AI solutions for global enterprises and startups. Responsibilities include architecting AI solutions, translating business problems into data science problems, and overseeing data pipelines and workflows. Requires 5+ years of experience in AI, strong Python skills, and expertise in ML algorithms, LLMs, and cloud environments (AWS or Azure).

Senior Data Engineer will design and develop data processing pipelines, architect data platforms, and collaborate with Data Science teams on Machine Learning projects.

PL/SQL Developer with Java will implement and customize insurance systems, create and optimize database procedures, and collaborate with teams to build solutions. Requires at least two years of commercial PL/SQL experience and one year of Java experience.

Backend Engineer (Go) to develop, scale, and maintain high-traffic services and APIs. Responsibilities include designing, querying, and optimizing databases, handling cross-team requests, and participating in architectural discussions. Requires 4+ years of backend engineering experience with Go (Golang) and relational databases.

Backend Engineer (Go) needed to develop, scale, and maintain high-traffic services and APIs. Responsibilities include designing, querying, and optimizing databases, handling cross-team requests, and participating in technical discussions. Requires 4+ years of backend engineering experience with Go (Golang) and relational databases.

Backend Engineer (Go) needed to develop, scale, and maintain high-traffic services and APIs. Responsibilities include designing, querying, and optimizing databases, handling cross-team requests, and participating in technical discussions. Requires 4+ years of backend engineering experience with Go (Golang) and relational databases.

AI Engineer will collaborate with cross-functional teams to develop, integrate, and scale algorithmic products. Responsibilities include evaluating new models, ensuring code quality, and contributing to code libraries. Experience with Python, AI/ML concepts, data engineering, and CI/CD pipelines is required.

Develop and implement a Kubernetes Operator for a Red Hat MicroShift platform. Enable mTLS for containerized applications and integrate secure key handling with TPM.

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. Excellent communication and client management skills are essential.

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.

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 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, and Python (or Java/Scala). Excellent communication and client management skills are essential.

Lead the design, implementation, and validation of scalable AI solutions. Experience in Machine Learning project leadership, team mentoring, and deploying solutions in cloud environments (AWS or Azure) is required. Strong Python skills, knowledge of ML libraries (Scikit-Learn, PyTorch/Tensorflow), and experience with LLMs are essential. Excellent communication skills and experience working with clients are necessary.

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.

Lead Data Scientist / ML Engineer will design, implement, and validate AI solutions, translate business problems into data science problems, and architect data pipelines. Requires 5+ years of experience in AI, ML algorithms, Python, LLMs, SQL, NoSQL, CI/CD, and cloud environments (AWS or Azure).

AI Engineer with 3+ years of Python software engineering experience needed to develop scalable AI systems, including LLMs and GenAI. Responsibilities include building backend components, ensuring code quality, and participating in deployment and maintenance. Experience with cloud environments (AWS, GCP, Azure), FastAPI, and databases (SQL/NoSQL) is required.

Data Engineer to design and develop data platforms, pipelines, and applications using Databricks, Spark, Airflow, and other Big Data technologies. Experience with Python, SQL, ETL, Azure, and data modeling required.