Senior Data Engineer

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Clarity (formerly Anecdote)

Site WebLinkedInTous les Emplois

11 - 50 employés

Fondée en 2022

💼 Conseil

🏥 Santé

📦 Logistique

Consulting • Healthcare • Logistics

Clarity est une entreprise SaaS (anciennement Anecdote) qui fournit des solutions de service client et de voix du client basées sur l'IA de niveau entreprise. Leur plateforme utilise le traitement du langage naturel (NLP) et des agents IA avec des garde-fous intégrés pour fournir des réponses précises et conformes à grande échelle, unifier les retours d'informations provenant de chats, d'avis et de réseaux sociaux, résoudre automatiquement les problèmes récurrents, et faire remonter des insights produit et support pour les équipes. Clarity met l'accent sur la sécurité et la conformité (SOC 2, RGPD, HIPAA) ainsi que sur les contrôles humains dans la boucle pour éviter les hallucinations et maintenir l'automatisation alignée avec la politique de l'entreprise.

Description

• Integrate and Scale: Extend, scale, monitor, and manage our ever-growing pile of 100s of integrations. Ensure they are reliable and responsive. • Own the Integrations: Implement new connections and be the master and owner of these integrations. • Optimize AI Pipelines: Ensure our AI pipeline works like clockwork. Improve and support its complex infrastructure. • ML Experience: Practical experience with ML, including classification, clustering, time series forecasting, and anomaly detection. You need to know the concept and be handly with the most common libraries. • Model Hosting and Monitoring: Host and monitor NLP models and LLM for real-time and batch inference. • Develop Monitoring Systems: Create and support robust models for monitoring. • Support and Innovate: Assist with a long tail of super important tasks, bringing innovative solutions to the table.

🎯 Exigences

• Python Proficiency: Strong Python skills with experience in building and monitoring production services or APIs. Experience with third-party APIs is essential. • Data Pipelining: Experience with SQL, ETL, data modeling. Experienced with the lifecycle of building ML solutions. • Speak AI language: Understand the fundamentals of ML/AI and communicate effectively with AI and Data Scientists. • Infra: Deep Knowledge of Docker, Git, cloud networking, and cloud security for services and infrastructure. Experience with Kubernetes (K8S) is a plus. • Cloud Expertise: Familiarity with AI infrastructure on AWS and GCP, including Sagemaker, Vertex, Triton, and GPU computing. • Bonus Points: Experience with Airbyte is a significant advantage.

🏖️ Avantages

• Fully Remote: Freedom to work from anywhere in the world with flexible core working hours. • In-person Meetups and Regular Team-building Remote Events: Enjoy in-person meetups and monthly game sessions for team bonding. • Generous Vacation: Benefit from our comprehensive vacation policy. • Growth Opportunities: Access continuous professional development and growth support. • Dynamic Culture: Be part of a vibrant, inclusive, and energetic company culture. • Stock Options: Participate in our stock options program in this early-stage, fast-growing startup.