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The Backend Data Engineer will develop and evolve a data management and processing platform using Python and Django. The role involves working with APIs, databases, and data processing pipelines in an international project environment.
Intern AI Engineer builds and deploys LLM-based agents and RAG pipelines to automate document search and chatbot workflows for a large bank’s public-sector clients.
Build and maintain end-to-end analytics and ML solutions in BigQuery and Python to drive data-driven decisions, KPIs, and predictive models for business and operations.
This Senior Data Engineer role involves designing and developing scalable data pipelines and processing solutions using Python and AWS. The position is a 12-month contract focused on building data infrastructure and supporting analytics workloads.
This Senior Data Engineer role involves designing and developing scalable data pipelines and processing solutions using Python and AWS. The position is a 12-month contract focused on building robust data infrastructure and supporting analytics workloads.
The Team Lead - Data Engineering will manage a team of software engineers to build and maintain petabyte-scale data platforms supporting space launch vehicles and spacecraft operations. The role involves designing end-to-end data infrastructure, ensuring technical excellence, and collaborating across engineering and mission teams.
Insurify is seeking a Senior Machine Learning Engineer to design and deploy ML models that optimize insurance product ranking and marketing bidding strategies. The role involves end-to-end ownership of ML solutions, from problem formulation to production, using Python and SQL in a collaborative, hybrid environment.
About Snorkel At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data. We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape…
The Data Scientist II will develop machine learning and statistical models to support Crop Protection R&D, focusing on applying generative AI, LLMs, and agentic workflows to scientific data. The role involves collaborating with domain experts to build analytical solutions and knowledge graphs to accelerate biological and chemical research.
about sciemo Sciemo builds AI for consumer goods: technology that helps businesses make faster, smarter, and more human decisions across the entire IBP process. From optimizing promotions to balancing demand and…
Mid-level Python Developer on a hybrid contract in Warsaw, building and maintaining backend services, ETL pipelines, and API integrations for a banking client. Core stack: Python, FastAPI/Flask/Django, SQL, Pandas, Git/CI-CD.
Builds and maintains data pipelines for defense/intelligence, handling ingestion, transformation, and quality checks of structured/unstructured data in secure environments using Python, SQL, and Docker.
The ML Engineer/Data Scientist will build a reproducible NLP pipeline for Spanish NER, focusing on weak supervision to create training datasets from historical data and fine-tuning BERT models. The role involves calibrating model confidence scores and ensuring the final pipeline is production-ready for the client.
Data Engineer role focused on evolving an on-premise data platform and migrating it to an Azure Databricks Lakehouse architecture, using Python, Apache Airflow, and SQL/PostgreSQL on a daily basis.
Join our Product Analytics function and play a key role in shaping the next wave of customer-facing experiences at ASOS. As a Senior Product Analyst, you’ll go beyond analysis — leading how data informs product…
Лаборатория искусственного интеллекта - это новый отдел, основной задачей которого является внедрение технологий ИИ в бизнес-процессы банка. Мы развиваем свою MLOps платформу (Kubernetes, JupyterHub, AirFlow, MLflow и…
Senior data scientist partners with product teams to define metrics, run experiments, and analyze user behavior to shape product road maps and validate feature impact using SQL, Python, and Snowflake.
The Data Engineer will design, build, and maintain ETL pipelines and data marts within a banking environment using PySpark and Python. The role involves managing the full SDLC, from development through production deployment and support, while working with diverse data types.
The Data Engineer will design, build, and maintain ETL pipelines and data marts within a banking environment using PySpark, Python, and Oracle SQL. The role covers the full SDLC, from development and UAT to production deployment and support.
The Data Scientist will perform data quality analysis, statistical modeling, and reporting to uncover business insights. The role requires proficiency in SQL, Python or R, and Power BI to communicate findings to stakeholders.
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