115 English-speaking jobs in Podlaskie Voivodeship

Software Architect needed for design and development of scalable, high-performance software architecture for data integration, synchronization, and processing from sensors. Experience in real-time data processing systems, embedded/IoT systems, and large data handling is required.

Senior Electronic Design Engineer to spearhead and participate in the specification, design, development, and verification of innovative electronic hardware. Requires a minimum of five years of experience in a similar role, proficiency in Altium, C programming, and strong understanding of EMC/EMI principles.

Data Engineer with experience in data warehousing, data wrangling, and building data pipelines using tools like Apache Airflow, Apache NiFi, Kafka, or Fivetran. Experience with Snowflake or Databricks is required. Responsibilities include optimizing data flows, collaborating with teams, and ensuring data privacy and security.

Genesys specialist to support design, configuration, and improvement of contact center solutions. Focus on call flows, routing, automation, AI functionalities, and troubleshooting. Collaborate with stakeholders and support integrations with Salesforce and Microsoft Teams.

AI Engineer needed to develop scalable AI systems, including LLMs and Generative AI. Experience with Python, LLMs, backend frameworks, and cloud environments 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).

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 scalable AI solutions, including Machine Learning, Predictive Modeling, Optimization, LLMs, NLP, Computer Vision, and GenAI. Translate business problems into data science problems and architect data pipelines. Coordinate with Data Engineering and Software Engineering teams to build AI applications.

Senior Data Engineer to develop and maintain a high-performance data processing platform for automotive data. Responsibilities include designing and implementing data pipelines, optimizing data workflows, and collaborating with cross-functional teams. Requires 5+ years of experience with Big Data technologies (Spark, Cloudera, Kafka, Airflow, NiFi, Docker, Iceberg), strong Python (or Java/Scala) skills, and experience in cloud environments.

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.

Lead end-to-end UX design for consumer-facing EV driver apps (iOS, Android), responsive web, and complex B2B web platform experiences. Own art direction across product surfaces, establishing and guarding visual quality, consistency, and brand expression. Design intuitive experiences across both domains: driver apps (charger discovery, session management, payment flows) and B2B platform for charging operators.

As a Pre-Sales Engineer, you will act as a technical advisor during pre-sales engagements, helping clients understand AI/ML and data platform capabilities and align them with business goals. You will design solution architectures, create technical proofs of concept, and collaborate with sales, delivery, and engineering teams.

We are seeking an ambitious AI Engineer with a solid software engineering background in Python. You will work with an experienced team to develop scalable AI systems, including LLMs and GenAI, and transform Data Science prototypes into production-ready solutions. Responsibilities include building and enhancing backend components for AI systems using Python and frameworks like FastAPI, ensuring code quality, and participating in the deployment and maintenance of solutions in a cloud environment.

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.

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.

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.

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.

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.

Addepto seeks a Pre-Sales Engineer to help clients leverage AI and data platforms. You will align technical solutions with business goals, act as a trusted advisor, and support technical discovery. Requirements: Undergraduate degree in a relevant field, experience in technical roles (AI/ML, data platforms, consulting), and strong understanding of cloud platforms (AWS, Azure, GCP).

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).