Docker

containerization, devops, virtualization
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There was a time when deploying applications felt like a dark art, a chaotic ritual of dependency hell and “it works on my machine” laments. Then came Docker, promising to encapsulate applications and their dependencies into neat, portable containers. Quite clever, really, though one does wonder if we simply traded one set of configuration headaches for another. It's essentially lightweight virtualization, a lovechild of chroot and control groups, allowing developers to package their code and run it consistently across different environments.

The reality? It mostly delivers. While not a silver bullet – Kubernetes quickly became the default orchestration layer, adding its own complexity – Docker remains ubiquitous. Alternatives like Podman exist, offering rootless containers and a slightly different approach, but Docker still dominates the landscape. Pretty much every cloud provider embraces it, and if you're not containerizing your applications in 2024, you're probably doing it wrong…or at least making life significantly harder for your operations team.

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data scientist

Runtime Root-Cause Analysis for Intelligent Robots via Causal AI Techniques H/F @ cea

FR | 2025-12-27
Internship in Runtime Root-Cause Analysis for Intelligent Robots via Causal AI Techniques promises a hands-on, research-to-deployment arc: survey causal AI approaches (Bayesian networks,... read more »
AI/ML, Computer Science, Python, Docker, CI/CD, GitLab, PhD
data scientist

Consultant Data Scientist / MLOps Engineer @ aneo

FR | 2025-12-24 | € 60000 - 70000 / year
A cloud engineering role within a hedge fund's quant team involves migrating research workloads from on-premise grids to AWS, ensuring seamless access and environment setup. The key differentiator... read more »
AI/ML, MLOps, Cloud Computing, AWS, GCP, LLM, Amazon SageMaker, Python, Docker, Amazon EC2, AWS Lambda
promoted

O'Reilly: Building AI Agents with Model Context Protocol (MCP)

Design and implement composable agent architectures using MCP. Understand the MCP architecture and how it enables AI applications to access external context. Build MCP servers that expose tools, resources, and prompts to LLMs.

Get Started
data scientist

Consultant ML/AI Engineer - F/H @ onepoint

FR | 2025-12-24
The role involves transforming prototypes into scalable production solutions using MLOps pipelines with tools like MLflow and Kubernetes, focusing on robust, performant AI models. A key... read more »
AI/ML, Data Management, Data Analytics, Data Science, MLOps, Docker, Kubernetes, Databricks, Spark, Delta, PySpark, SQL, Scala, Java, Data Streaming, Data Engineering, Data Lakehouse, CI/CD, Git, Python, TensorFlow, PyTorch, Cloud Computing, Azure, AWS, GCP, Management
data scientist

Stage - Data scientist H/F/X (Janvier 2026) @ veepee

FR | 2025-12-24
Veepee seeks a candidate to improve pricing models using machine learning techniques like causal forests, with the ability to collaborate closely with data science and pricing teams. The role's... read more »
AI/ML, Data Science, KPI, MLOps, Cloud Computing, Kubernetes, Docker, Airflow, GitLab, Python, SQL, dbt, Git