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Senior Data Scientist (Python)
Lead the design, training, and deployment of production-grade ML models in Python for high-growth clients, using cloud infrastructure and MLOps tooling to drive business decisions.
Data Science / Machine Learning Engineer
Build and deploy ML models and MLOps pipelines using Python, TensorFlow/PyTorch, and cloud platforms like Azure Databricks for real-time data-driven solutions.
Data Scientist/Machine Learning Engineer
Builds and deploys ML models (deep learning, MLOps) for clients across industries, using Python/TensorFlow/PyTorch, Kafka, and cloud platforms like Databricks/Fabric, while collaborating with cross-functional teams to deliver scalable, real-time data-driven solutions.
Senior MLOps Engineer (Remote)
Build and maintain the MLOps platform that lets Oura’s data-science teams train, deploy, and monitor ML models reliably at scale in AWS.
Machine Learning Engineer - PRISM - Supply Chain (f/m/d)
Build and deploy AI models for supply-chain demand forecasting using Python, TensorFlow/PyTorch, and MLOps tooling to optimize Decathlon’s inventory and assortment planning.
Machine Learning Engineer - PRISM - Supply Chain (f/m/d)
Senior ML Engineer builds and deploys AI models for demand and assortment planning in Decathlon’s supply chain using Python, TensorFlow/PyTorch, and MLOps tooling.
Data Engineer / Data Scientist
Build and maintain scalable data pipelines, ML models, and analytics for an iGaming/Web3 company using Python, cloud platforms, and AI to drive player engagement and fraud detection.
AI Engineer (Europe)
Build and ship production-grade LLM systems, RAG pipelines, and agentic workflows on Databricks, optimizing for latency, cost, and reliability while mentoring peers.
Senior Data Scientist with AI product mindset
Build and deploy AI/ML models (LLMs, NLP, deep learning) for client projects, from requirements to production, using Python, SQL, and cloud tools (AWS/GCP/Azure).
Senior AI Engineer-AI Research
Build and scale AI systems for national cyber-defense, focusing on LLMs, agent-based architectures, and production-grade cybersecurity use cases.
Senior Machine Learning Engineer - Applied AI & LLMs (x/f/m)
Senior ML Engineer at Doctolib builds and deploys AI systems (LLMs, retrieval pipelines, agentic AI) to improve patient access to healthcare, using Python, vector databases, and cloud-native tools.
Senior MLOps Engineer - Data Ingestion - Paris
Build and maintain secure ML pipelines for healthcare data, including LLM and custom model deployment, anonymization, and threat detection in production.
Senior ML Manager - Voice Teams (x/f/m)
What we do At Doctolib, we are building AI-powered healthcare solutions that make a real difference in the lives of millions of patients and healthcare professionals every day. Our AI organization is at the heart of…
Experienced Data Engineer Stockholm
Designs and builds scalable data pipelines and modern data platforms for public and private clients, using cloud-native tools and Python/SQL to enable analytics and AI workloads.
Experienced Data Engineer Malmö
Builds and maintains cloud-native data pipelines and platforms for public/private clients, enabling analytics and AI use cases with Python, SQL, and cloud services.
Senior MLOps Engineer (AWS & GenAI)
Build and maintain AWS-based MLOps platforms for GenAI models, automating pipelines with SageMaker, MLflow, and CI/CD while ensuring secure, scalable deployments.
Machine Learning Engineer - Applied ML & Research
Build and deploy ML models for online gaming platforms, focusing on security, user experience, and data-driven decisions using Python, PyTorch, and SQL.
Senior Engineering Manager - Machine Learning
Leads a team of ML engineers and data scientists to design, deploy, and maintain machine learning systems for sports betting and gaming platforms using Python, TensorFlow/PyTorch, and AWS.
Senior Engineer, Machine Learning Platform
Senior Engineer builds and maintains a scalable ML platform for real-time data processing, model deployment, and monitoring, enabling AI adoption across teams using Python, cloud services, and Kubernetes.
Staff Machine Learning Engineer - Applied ML & Research
Leads machine learning initiatives for an online gaming platform, designing and deploying scalable models to enhance security, user experience, and data-driven decisions for hundreds of thousands of users.