68 English-speaking jobs in Białystok

Senior Data Scientist/AI Engineer specializing in Reinforcement Learning will design, deploy, and optimize RL environments for large-scale agent evaluation and experiments. Requires 5+ years software engineering experience in Python and 3+ years as a Data Scientist/Machine Learning Engineer.

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.

Lead the design and delivery of enterprise-grade geospatial architectures, integrating satellite imagery, AI analytics, and cloud platforms. Build and deliver cloud-based GeoAI platforms, prototypes, and PoCs. Apply domain expertise in geospatial and Earth Observation data to identify business challenges and develop innovative solutions. Lead GeoAI projects, from pre-sales discussions to technical delivery and project execution. Bridge the gap between business and technical teams, ensuring effective communication and alignment of technical outcomes with client objectives.

Senior Python Engineer to design, develop, and maintain scalable finance-focused backend solutions using Python and Django. Integrate external systems and APIs, collaborate with Product Managers and Tech Leads to solve customer problems, and write high-quality, well-tested code.

Lead and grow Hostinger's core Web Hosting product. Develop and execute product strategy, manage Product Managers, and ensure a clear roadmap aligned with company goals. Drive business growth through product innovation and customer-centricity.

Salesforce Developer trainees will learn Apex, Salesforce configuration tools, and collaborate with teams to deliver solutions. Requires proficiency in an object-oriented language (Java preferred), SQL, web technologies, and strong analytical skills.

Lead Python Engineer to design, develop, and maintain scalable finance-focused backend solutions using Python. Integrate external systems and APIs, work with Product Managers and Tech Leads to solve customer problems, and lead and mentor the engineering team.

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).

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.

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.

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 technical advisor, and support technical discovery. Requirements: Undergraduate degree in a relevant field, experience in technical roles, foundational understanding of cloud platforms, and strong communication skills. Familiarity with AI/ML workflows, LLMs, MLOps, and data engineering concepts is also required.

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.

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.

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.

Lead the development of modern web applications, crafting high-performance, scalable, and reusable UI components using React. Drive technical decisions, mentor developers, and shape best practices in code quality, accessibility, and performance.

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.

Design, develop, and optimize BI and data analytics solutions. Participate in the full data lifecycle, including ingestion, transformation, modeling, and visualization. Build and manage data models and ETL/ELT pipelines. Work with large datasets, ensuring data quality and availability. Automate data processing workflows using SQL, Python, or Scala.

Cybersecurity Design Reviewer/Architect will conduct reviews of web applications, AWS infrastructure, and AI/ML solutions. Provide expert guidance on secure design and implementation strategies. Analyze penetration test and code review reports.

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.