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Principal Data Scientist (Founding)
Principal Data Scientist at a biotech AI startup building interpretable ML models for drug production efficiency using time-series and sensor data, and advising pharma customers.
Snowflake Application Developer
Build and optimize scalable data pipelines and cloud-native apps using Snowflake, Databricks, Python and SQL to power reporting, analytics and operational processes for financial clients.
Applied AI Scientist – Generative AI & Agentic Systems
Build and validate enterprise Generative AI and Agentic AI systems using LLMs, RAG, and AI agents to improve financial services workflows while ensuring compliance with governance and audit standards.
Senior Full-Stack Developer
Build a cloud-native platform for pharmaceutical research, combining full-stack web apps, AI-powered features, and scalable microservices using React, Next.js, NestJS, Go/Python, and Kubernetes.
Data Engineer (PySpark)
Build and optimize PySpark pipelines for large-scale data processing, using HDFS, YARN, and Spark SQL to deliver clean datasets for analytics and reporting.
Data Engineer with Spark
Build and optimize PySpark pipelines for large-scale data processing, tuning performance and integrating with Hadoop, HBase, and SQL databases.
Senior Software Engineer, Agentic AI
Build and deploy AI-driven features and agentic workflows using Python, ML frameworks, and cloud tools to power scalable content technology products.
Software Engineer II (AI Integration)
Build and deploy AI/ML systems for banking, including LLM pipelines, model fine-tuning, and real-time microservices using Python, cloud platforms, and MLOps tools.
Software Engineer III (AI Integration)
Build and deploy AI/ML systems for banking, including LLM pipelines, fine-tuning, and real-time microservices, using Python, cloud platforms, and MLOps tools.
Lead Data Engineer / Data Platform Lead
Lead a team to design and build scalable data pipelines on Hadoop/Databricks and cloud platforms, enabling analytics and GenAI/LLM-ready data ingestion for enterprise clients.
Data Engineer – Snowflake / Databricks / Python / SQL
Build and optimize data pipelines using Snowflake, Databricks, Python, and SQL to deliver scalable analytics solutions for financial clients.
Data Scientist with Machine Learning Engineer
Build and deploy ML models and pipelines using Python, TensorFlow/PyTorch, and MLOps tools; analyze data to drive business decisions.
Expert Data Engineer in AI for Enhanced Surgical Imaging Solutions
Senior Data Engineer building AI-powered surgical imaging systems; designs ML architectures, implements radiographic analysis pipelines, and collaborates with imaging teams to enhance intraoperative workflows.
Lead Data Engineer / Data Platform Lead
Lead a data engineering team to build and scale enterprise data platforms, enabling analytics and GenAI workflows with Python, PySpark, and cloud tools like Azure/AWS and Databricks.
Junior Data Engineer
Build and maintain data pipelines that feed AI agents in a proptech startup, using Python, SQL, and cloud tools to clean and organize data for models and insights.
Cloud Data Engineer
Design and build scalable cloud data pipelines and analytics solutions using Snowflake, Databricks, Python, and SQL for enterprise clients.
Data Engineer
Designs and builds scalable data pipelines in Python, PySpark, and SQL to extract, transform, and load large datasets for analytics and ML, using cloud platforms like Azure/AWS and tools such as Airflow and Databricks.
Senior Python Developer with Node.js @ Xebia sp. z o.o.
Design and build scalable backend services using Python and Node.js, crafting APIs and microservices for business-critical apps while leveraging cloud-native tools in Azure.
Python Developer (ETL)
Builds and maintains ETL pipelines in Python to integrate tax-sector data sources using Pandas, Pyarrow, Polars, and MS SQL Server.
Python Developer
Build and maintain Python-based ETL pipelines and data-integration apps for tax-related business processes, using Pandas, NumPy, SQL, and REST APIs.