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Lead Data Scientist / ML Engineer @ Addepto
Lead the design and deployment of AI/ML systems for global clients, including optimization engines and LLM-powered recommendation systems using Python, AWS, and MLOps practices.
Data Scientist / ML Engineer @ Addepto
Build and deploy ML models and AI systems for enterprise clients, focusing on LLMs, NLP, and computer vision to solve industrial, automotive, and software-engineering challenges.
Platform Engineer, Data Services & Cloud DBaaS
Build and own cloud-native data services like DBaaS, Docker Registry, and secret management on Kubernetes, shaping a sovereign European cloud platform for climate and space research.
Industrial AI & MLOps Engineer — Data Solutions
Builds and deploys AI/ML models and MLOps pipelines to optimize industrial operations, working with Python and cross-functional teams.
Poland | Data and MLOps Engineer 1 at Hatch
Build and deploy AI/ML models for industrial use cases like predictive maintenance and process optimization, using Python, TensorFlow/PyTorch, and MLOps pipelines.
Junior Machine Learning Engineer (Data Platform)
Build and maintain Allegro’s ML/AI platform, including MLOps pipelines, agentic workflows, and model-serving microservices using Python, PyTorch, Kubernetes, and GCP.
Data Platform Engineer – fintech sector (f/m/x)
Build and maintain a secure, scalable cloud data platform across AWS and GCP to support analytics, ML, and business needs for a European fintech scale-up.
Senior Data Science Engineer — AI & Optimization for Travel
Senior Data Science Engineer building AI-driven pricing and optimization systems for Sabre’s travel marketplace, using ML, generative AI, and MLOps.
Data Scientist / ML Engineer
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.
Mid Software Engineer-Data Services
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.
MLOps Engineer – Data Analytics Platform
Build and maintain ML pipelines using Airflow, MLflow, and GCP; migrate on-premise systems to cloud-native environments and ensure scalable, reliable data workflows.
Data Science Engineering Manager — Lead Global Teams
Lead a global team of engineers and data scientists to build scalable MLOps and data solutions for Tesco’s retail, online, and loyalty systems.
Data and MLOps Engineer
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.
Data and MLOps Engineer
Build and maintain scalable data pipelines and MLOps workflows for industrial AI solutions in mining, energy, and infrastructure, deploying models in cloud/edge environments.
Principal Data Platform Engineer
Principal Data Platform Engineer builds and leads a cloud-native data platform for Moderna’s mRNA pipeline, focusing on scalable data lakes, AI-assisted governance, and modular architecture to support global healthcare operations.
ML Ops & Data Platform Engineer
Build and maintain ETL pipelines and production-grade ML systems for a fintech bank, ensuring reliable data flows and scalable model deployment.
Senior Data Science Engineer
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.
Senior Data Platform Engineer - ML & Data Lakehouse
Build and maintain the data infrastructure (Data Lakehouse) that powers AI-driven dental products, collaborating with ML researchers and MLOps engineers.
Senior Data Platform Engineer for AI/ML Pipelines
Build and scale data infrastructure for AI/ML pipelines in dentistry, including ingestion, annotation, dataset versioning, and training workflows on AWS.
Industrial Data & MLOps Engineer
Builds and deploys industrial data pipelines and MLOps workflows to run AI models in cloud and edge environments for metals, energy and infrastructure clients.