Mlops Team Lead
4 days ago
(En français ci-dessous)_
- Join a Montreal headquarter company that helps organizations around the world create a personalized journey of impact and fulfillment for their people. Explorance offers innovative People Insight Solutions because we believe that each experience matters._
**What is MLOps?**
MLOps at Explorance lives at the intersection of data engineering, machine learning and devops. It operationalize and productize data collection and model deployment as well as maintenance of machine learning models.
**What will I do?**
**Responsibilities**
- End-to-end supervision of the model life cycle
- Model training and optimization
- Model adjustments based on various feedback
- End point deployment and monitoring (eventually)
- Backend development for data collection and data labelling
- Interact with other teams to harmonize the ML integration with other products
- Support DataOps and research
- Productize research
- Develop new ML models that have a higher level of success
- Building secure and reusable code and libraries
- Maintain high standards of software quality within your team by establishing good practices and habits (e.g. unit tests)
- Code documentation
**As a manager, what more do I have to do?**
- Manage the MLOps team priorities
- Stay up to date with the best practices and enforce them
- Hands-on with junior team members
- Manage the cloud infrastructure
- Close collaboration with the DevOps team
**What skills will I need?**
**Skills**:
- Programing in Python/C#
- Experience with Terraform and Azure
- Microsoft SQL Server
- RESTful API
- Strong software engineering background
- Some knowledge of machine learning, both classic and modern techniques
- Fluent in both French and English
- Good communication skills
- Strong team player and independent thinker
**Who will MLOps Manager reports to?**
**The Machine Learning Lab’s MLOps reports directly to the Head of the lab.**
**About Explorance**
Founded in 2003, Explorance supports more than 20 million students and employees in their professional journey of purpose, growth, and impact.
As the leading provider of People Insight Solutions, Explorance focuses on where people experiences converge with talent effectiveness. By connecting the moments that matter, we bring together a unified picture of needs, expectations, skills, knowledge, and competency. By providing proven measurement expertise and decision-grade AI-enabled recommendations, we help accelerate the insight-to-action cycle, enabling organizational agility and individual success.
******
Chef d'équipe MLOps
- Joignez-vous à une entreprise avec un siège social situé à Montréal et qui aide des organisations du monde entier à établir un cheminement personnalisé qui favorise un impact et un accomplissement réels pour tous. Explorance offre des solutions innovantes d’analyses des personnes, car pour nous, chaque expérience compte._
**Qu’est-ce que MLOps ?**
Chez Explorance, MLOps est à l’intersection de l’ingénierie de données, de l’apprentissage automatique et de devops. MLOps opère et effectue la productisation la collecte de données et le déploiement de modèles, en plus d’effectuer la maintenance des modèles d’apprentissage automatique.
**Quelles seront mes tâches ?**
Responsabilités
- Faire de la supervision de bout en bout du cycle de vie du modèle
- Former et optimiser le modèle
- Ajuster le modèle à partir de rétroaction variée
- Déployer au point final et suivi (éventuel)
- Développer le backend pour la collecte de données et l’étiquetage de données
- Interagir avec les autres équipes pour harmoniser l’intégration ML avec les autres produits
- Offrir un soutien aux DataOps et faire de la recherche
- Effectuer la productisation la recherche
- Développer de nouveaux modèles ML qui auront un meilleur taux de succès
- Créer des codes et des bibliothèques sécurisés et réutilisables
- Maintenir des standards élevés de la qualité des logiciels au sein de l’équipe en encourageant de bonnes pratiques et habitudes (ex. essais unitaires)
- Documenter les codes
**En tant que gestionnaire, que ferais-je de plus ?**
- Gérer les priorités de l’équipe MLOps
- Rester à jour avec les meilleures pratiques et les encourager
- Faire de la pratique avec les membres juniors de l’équipe
- Gérer l’infrastructure infonuagique
- Collaborer étroitement avec l’équipe DevOps
**De quelles compétences ai-je besoin ?**
Compétences:
- Programmation dans Python/C#
- De l’expérience avec:
- Terraform et Azure
- Microsoft SQL Server
- RESTful API
- Une solide expérience en ingénierie logicielle
- Une connaissance de l’apprentissage automatique et des techniques classiques et modernes
- Une maîtrise du français et de l’anglais
- De bonnes compétences de communication
- Un bon esprit d’équipe et une grande indépendance d'esprit
**Qui est responsable du/de la gestionnaire MLOps ?**
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