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Senior Data Science Engineer building AI-driven pricing and optimization systems for Sabre’s travel marketplace, using ML, generative AI, and MLOps.
Build and deploy AI-powered safety systems: liveness detection, fraud/abuse detection, audio analysis, and safety scoring using CV, NLP, and LLM pipelines in a high-load production environment.
Build core cloud data services (DBaaS, Docker Registry, secret management) on Kubernetes, owning the full stack from APIs to production reliability for a European sovereign cloud platform.
Build and maintain scalable data pipelines and MLOps infrastructure for industrial AI solutions in mining, energy, and infrastructure sectors, deploying models in cloud/edge environments.
Build and maintain scalable data pipelines and MLOps workflows for industrial AI solutions in mining, energy, and infrastructure, deploying models in cloud/edge environments.
Build and deploy AI-driven travel optimization systems using ML, GenAI, and MLOps on GCP for Sabre’s global travel marketplace, from pricing to airport operations.
Build and maintain the data infrastructure (Data Lakehouse) that powers AI-driven dental products, collaborating with ML researchers and MLOps engineers.
Build and scale data infrastructure for AI/ML pipelines in dentistry, including ingestion, annotation, dataset versioning, and training workflows on AWS.
Builds and deploys industrial data pipelines and MLOps workflows to run AI models in cloud and edge environments for metals, energy and infrastructure clients.
Builds and maintains production ML pipelines and ETL workflows in Python to deploy and monitor machine-learning models for a bank.
Build and maintain cloud-based data pipelines and AI/ML infrastructure in Microsoft Azure to enable advanced analytics and data-driven decision-making across Arla Foods Ingredients Analytics.
Build and deploy AI/ML models to optimize airline retailing, pricing, and customer experience using Python, TensorFlow, and GCP services.
Build and deploy AI-driven travel systems, blending ML, GenAI, and optimization to power airline pricing, agency automation, and itinerary personalization at scale.
Build and deploy scalable data pipelines and MLOps workflows to integrate structured, semi-structured, and unstructured data for GenAI and LLM solutions in the insurance sector.
Build and scale data infrastructure for AI-driven dental products, owning pipelines from ingestion to model training on AWS.
Build and optimize cloud data pipelines, design data models, and develop serverless APIs across AWS/GCP/Azure using IaC (Terraform/CDK).
Build scalable data pipelines and infrastructure for AI systems using Python, SQL, Spark, and cloud platforms to power LLMs, retrieval systems, and agentic architectures.
Builds and maintains ETL pipelines, deploys ML models to production, and monitors data flows and model performance using Python, SQL, and Azure.
Build and maintain ETL pipelines, deploy ML models, and monitor data flows in a fintech environment using Python, SQL, and Azure.
Design and optimize scalable data pipelines using Databricks, Apache Airflow, and Spark to process streaming and batch data for enterprise clients across industries like aerospace, energy, and automotive.
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