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Build and maintain data pipelines and reporting systems in Python, SQL, and BigQuery to support AI-driven healthcare insights at a leading European healthtech company.
Build and maintain AI-ready data pipelines and platforms for a global real-estate operator, integrating property, financial, and IoT data to power analytics and LLM tools across the business.
Build and maintain a high-throughput data platform for credit scoring using PySpark, ClickHouse, Airflow, and Linux infrastructure.
Data Engineer – Enterprise Data Platforms & AI-Driven Engineering We are looking for a highly skilled and passionate Data Engineer to join our high-performance engineering team. The ideal candidate should have…
Senior Data Engineer builds and maintains scalable ETL/ELT pipelines, data warehouses, and analytics-ready models to power self-service reporting and decision-making for a global entertainment platform.
Build and maintain end-to-end data pipelines for large-scale ECG medical datasets, including preprocessing, quality validation, and monitoring to support AI/ML model training and healthcare analytics.
Build scalable data pipelines and infrastructure for early-stage startups in AI, cybersecurity, healthtech, fintech, and devtools, enabling trusted data products and analytics.
Build and migrate data pipelines and microservices to AWS, containerizing systems with ECS and refactoring legacy code using Python, Java, and SQL.
Build and scale the infrastructure that powers a computer-vision engine detecting underground utilities, designing pipelines, data systems, and deployment workflows for AI models.
Build and maintain internal AI infrastructure connecting LLMs, agents, and ML systems with company data, tools, and workflows to support autonomy and defense applications.
Design and teach a next-gen data platform for a fintech SaaS that unifies due-diligence data from 150+ countries, migrating from SQL Server to PostgreSQL and adding AI-native features like vector search and semantic matching.
As an Engineering Manager, AI & ML (Data Collection), you will play a critical role in building and scaling the company’s Unified AI/ML Data Collection Platform , enabling standardized, reliable, and scalable…
Lead the design and delivery of scalable AI and data platforms, from petabyte-scale lakehouses to production GenAI solutions, using Python, Spark, Databricks, and cloud services.
Build and maintain data pipelines and ETL processes using Python and AWS services to feed data warehouses and lakes for a global restaurant group.
Build and operate ML infrastructure for drug-discovery models, deploying GPU-backed services, LLMs, and agentic workflows on AWS/Kubernetes while ensuring reliability, observability, and lifecycle management.
Build and maintain scalable data models in dbt and Snowflake to power analytics for home-service businesses, ensuring consistent metrics and enabling self-service BI across teams.
Designs and manages AI-driven robotics automation pipelines (human-in-the-loop workflows) for data collection/annotation, optimizing AI/ML orchestration tools like Airflow or LangChain to integrate GenAI models and APIs for scalable, high-quality solutions.
Build and optimize AI-driven robotics automation pipelines, integrating GenAI models and human-in-the-loop workflows to collect and annotate egocentric data for deployment.
Build and maintain certified data models and semantic layers to standardize metrics across adtech media brands, ensuring trusted analytics for decision-making.
Lead a team of ML engineers and architects at an AI-first cloud services company, owning hiring, team growth, and complex customer engagements while shaping AI/ML architectures and driving pre-sales.
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