ML Engineer
il y a 1 jour
Join to apply for the ML Engineer role at :probabl. About Probabl Probabl is the official and exclusive industrial operator of scikit-learn, the world's most widely used machine learning library. Born from the open-source ecosystem, we are building a comprehensive suite of tools, starting with Skore. Our mission is to help data teams design, track, and validate models through a unique code-first UX, prioritizing ease of use and flow. The Role As a Machine Learning Engineer, you will focus on Skore’s interoperability, ensuring it fits naturally into existing enterprise ecosystems. Your primary goal is to drive adoption by removing friction. You will bridge the gap between our code-first UX and the broader infrastructure. This involves two distinct challenges: building bridges with enterprise tools (e.g. tracking systems, data platforms) and simplifying access to remote compute substrates. Responsibilities Ecosystem Integration: Explore, design, and build integrations with industry-standard tools. Primary candidates for evaluation include MLflow, Databricks, and Snowflake. Compute Abstractions: Build remote compute capabilities that allow users to dispatch training or inference workloads to cloud substrates (e.g., AWS, Modal) with local-like simplicity. API Design: Craft intuitive Python APIs and abstractions that make complex ML workflows (tracking, artifacts, remote execution) feel simple and consistent. Open Source: Actively contribute to Skore Lib, reviewing issues, guiding contributors, and ensuring the open-source core remains high-quality. Reliability: Apply continuous integration and testing practices to ensure reliability across diverse environments (local, CI, Hub). Technical Environment Languages: Python (Advanced). Libraries: scikit-learn, pandas, numpy, PyTorch. Core Stack: FastAPI, PostgreSQL, S3 (Skore architecture). Requirements Experience Level: 3+ years in software development for ML workflows or scientific computing. Engineering focus: You are a software engineer building tools for data scientists, not just a data scientist training models. You care about how the plumbing works. Ecosystem Knowledge: Strong familiarity with the modern ML stack (e.g. MLflow, Databricks, or similar lifecycle tools) and how to interface with them. Compute: Experience programmatically managing compute resources (cloud instances, batch jobs). API Design: An obsession with Developer Experience (DX)—you understand why scikit-learn’s API is successful and strive for that level of clarity. Preferred Qualifications Experience maintaining open-source ML libraries. Deep understanding of reproducibility constraints in ML pipelines. Working Conditions Location: Paris, Saclay Presence: Office-based or Hybrid Team: Tech & Product Department / Applications Engineering Team Supervisor: VP of Applications Engineering Stakeholder Interaction: Regular collaboration with Product Management, Labs, and Engineering. Cultural Fit: Should align with the company's values of innovation, agility, and user-centricity, thriving in a fast-paced startup environment. Seniority level Mid-Senior level Employment type Full-time Job function Engineering and Information Technology Industries Software Development #J-18808-Ljbffr
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ML Developer Experience Engineer
il y a 2 jours
Paris, France Adaptive ML Temps pleinAbout the role As an ML Developer Experience Engineer, you will empower ML engineers and developer teams to leverage reinforcement learning without needing deep RL expertise. You’ll build developer-centric tooling, abstractions, and workflows that make training, evaluating, and deploying RL models intuitive, robust, and scalable — fueling our...
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Ml Engineer
il y a 1 semaine
Paris, France Capital Fund Management Temps pleinParis, 75, FR **ABOUT CFM**: We value innovation, dedication, collaboration, and the ability to make an impact. Together, we create a stimulating environment for talented and passionate experts in research, technology, and business to explore new ideas and challenge existing assumptions. **ML Platform team**: The ML Platform team is focused on enhancing...
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RL DevEx Engineer
il y a 2 jours
Paris, France Adaptive ML Temps pleinA leading machine learning company is seeking an ML Developer Experience Engineer to empower teams in harnessing reinforcement learning. The role involves designing developer-centric tooling and API abstractions to improve workflows and enhance user experience. Candidates should have strong Python skills, a background in building developer-focused libraries,...
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ML Engineer
il y a 4 jours
Paris, Île-de-France Aubay Temps pleinPassionné par la Data et l'innovation à base d'Intelligence Artificielle, vous souhaitez rejoindre une communauté d'experts dans le domaine afin de développer vos compétences en Architecture, Data Engineering et Data Science/IA. Aubay Data & AI, cabinet spécialisé Data de Aubay Solutec, renforce ses équipes et recherche des ML Engineers (H/F) pour...
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AI/ML Security Engineer
il y a 2 jours
Paris, France Blackfluo.ai Temps pleinLeveraging AI to enhance cybersecurity while protecting machine learning systems from adversarial threatsPosition OverviewWe are seeking an innovative AI/ML Security Engineer who combines deep knowledge of cybersecurity with experience in artificial intelligence and machine learning. This cross-disciplinary role focuses on two key areas: using AI/ML...
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Senior ML/AI Engineer
il y a 6 jours
Paris, Île-de-France Collective Temps pleinBudget: Selon profilSenior ML/AI Engineer – Demand SensingContexteNous recherchons un profil senior ML/AI Engineer pour accompagner un acteur majeur du luxe sur la mise en place d'un algorithme de demand sensing, basé sur des signaux internes (ventes, stocks, promotions, historiques) et surtout externes (social listening, tendances marché, météo,...
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ML Ops/Engineer
il y a 1 semaine
Paris, France SkillCorner Temps pleinJoin to apply for the ML Ops/Engineer role at SkillCorner. Technical Stack Data Science: Python, Tensorflow, Onnx, Pytorch, TensorRT Infra/DevOps: AWS (EC2, EKS, RDS, Lambda), Docker, Grafana Back-end: Django Front-end: Angular Vos Principales Missions Seront Mise en place d'outils permettant aux data scientists de entrainer/tester leurs algorithmes à...
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ML Ops/Engineer
il y a 1 jour
Paris, France SkillCorner Temps pleinJoin to apply for the ML Ops/Engineer role at SkillCorner Vous aurez un rôle transverse entre l’équipe Software et l’équipe Data Science de SkillCorner. Votre rôle sera de faciliter le développement et la mise en production des algorithmes développés par l’équipe data. Vos Principales Missions Mise en place d'outils permettant aux data...
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Ml Engineer
il y a 10 heures
Paris, France NielsenIQ Temps plein**Company Description** The very rapid development of e-commerce today gives access to thousands of information. These data are difficult to exploit by companies, which then have difficulty choosing the right levers of action and measuring their impact. This is where NIQ for Digital Commerce comes in! Every day, we collect more than 60 billion pieces of...
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Senior ML/AI Engineer
il y a 2 jours
Paris, France Collective.work Temps pleinSenior ML/AI Engineer - Freelance role at Collective.workContexteNous recherchons un profil senior ML/AI Engineer pour accompagner un acteur majeur du luxe sur la mise en place d'un algorithme de demand sensing, basé sur des signaux internes (ventes, stocks, promotions, historiques) et surtout externes (social listening, tendances marché, météo, signaux...
