96 English-speaking jobs in Podlaskie Voivodeship

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).

Solution Architect to design and implement robust, scalable software solutions. Requires 8+ years of Java development experience, Oracle database expertise, and experience with cloud-native technologies (Azure, Kafka, Kubernetes). Must have strong understanding of DDD principles and experience with RESTful APIs and integration patterns.

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. Experience in AI/ML, LLMs, cloud platforms, and data engineering is required.

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

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.

Senior AI Engineer will develop scalable AI systems, including LLMs and GenAI, transforming Data Science prototypes into production-ready 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 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).

Shape high-impact data and AI solutions for clients. Design modern data platforms, architect for AI, and lead technical discovery. 8+ years in solution architecture, data architecture, or pre-sales with at least 4 years designing enterprise data platforms and analytics solutions. Deep expertise in at least two of: Databricks, BigQuery, Redshift, Microsoft Fabric. Proven design experience with batch and streaming pipelines. Skilled at delivering innovative, secure, and scalable solutions. Comfortable working with engineering, business teams, and cloud channel partners. Experienced in requirements gathering, RFP/RFI responses, and technical presentations.

AI Business Analyst to bridge AI systems and business solutions. Analyze AI data, collaborate with teams, and ensure AI models align with business objectives.

Data Analyst will join consulting or implementation teams for financial institutions. Responsibilities include business analysis, documentation, testing support, and data exploration using SQL, Excel, Python, and BI tools.

As a Pre-Sales Engineer, you will act as a technical advisor, helping clients understand the value of AI and data platforms and aligning solutions with their business goals. You will design solution architectures, create technical proofs of concept, and collaborate with sales, delivery, and engineering teams.

Design, develop, and maintain finance automation solutions using Redwood or comparable platforms. Build and integrate system interfaces across financial and enterprise systems.

Experienced Veeva Consultant needed for a global biotech company. Focus on Veeva Vault RIM and/or Veeva Quality. 5+ years of experience in system configuration, implementation, and validation. GxP experience and strong change management skills required. Must reside in Poland.

Provides first-line IT support to Coveris Group employees across all sites. Resolves incidents and service requests, manages user accounts, and supports Microsoft 365, Windows devices, and VPN access. Escalates complex issues and contributes to service desk knowledge articles. Requires 1-2 years of experience in a service desk role, proficiency with Active Directory, Microsoft 365, and ITSM tools. Fluent English required.

Salesforce Consultant will design and implement Salesforce solutions for insurance and financial clients. Requires 4+ years of Salesforce implementation experience, 2+ years in financial sector IT projects, and fluency in English.

Data Engineer needed to build and optimize data pipelines for financial sector clients. Requires 3+ years of experience in data engineering, ETL/ELT processes, and data warehousing. Proficiency in SQL, Python/Java/Scala/R, and experience with Snowflake or Databricks is essential.