ML Ops Engineer AI Team (m / w / d)

CUJU; Frankenthal (Pfalz); Vor Ort; EUR 60.000 - 90.000; Vollzeit

Zusammenfassung

CUJU, une entreprise innovante dans le domaine du sport, recherche un ML Ops Engineer pour transformer la manière dont les athlètes s'entraînent en utilisant la vision par ordinateur et l'intelligence artificielle. Ce rôle clé implique le déploiement et l'optimisation de modèles ML tout en garantissant une intégration fluide avec les équipes de data science. Offrant une culture d'équipe internationale et une flexibilité de travail, cette position présente une opportunité passionnante pour des candidats motivés désireux de contribuer à des solutions sportives de pointe.

Leistungen

Flexibilité de travail

Culture d'équipe internationale

Paquet de rémunération compétitif

Opportunités de formation continue

Qualifikationen

• 5 années d'expérience en ML Ops, DevOps ou rôles similaires.
• Expérience solide avec des frameworks de ML tels que PyTorch ou TensorFlow.
• Compétences en technologies de conteneurisation et infrastructures cloud.

Aufgaben

• Développer et gérer des pipelines de ML de production pour des modèles de vision par ordinateur.
• Établir des pratiques de ML Ops incluant sécurité et optimisation de performance.
• Collaboration avec des équipes pluridisciplinaires pour l'intégration des solutions ML.

Kenntnisse

Machine Learning

AI

DevOps

Collaboration

Automation

Tools

PyTorch

TensorFlow

Docker

Kubernetes

AWS

Azure

Google Cloud

GitLab CI

Prometheus

Grafana

Jobbeschreibung

CUJU is revolutionizing the sports industry through AI Computer Vision and advanced analytics empowering athletes and redefining talent diagnostics globally. Backed by renowned investors and working with elite football clubs we aim to deliver cuttingedge technology that transforms player development and performance analytics.

Your Mission : As our ML Ops Engineer you will play a crucial role in operationalizing and scaling our AI and machine learning models. Collaborating closely with our AI and Data Science teams youll be responsible for building deploying and maintaining robust ML systems ensuring seamless integration and reliable performance at scale.

Tasks

What Youll Work On :

• ML Model Deployment : Develop deploy and manage productiongrade AI and machine learning pipelines focusing particularly on Computer Vision models.
• Infrastructure Automation : Build and maintain scalable automated infrastructure and CI / CD pipelines to streamline model development testing deployment and monitoring.
• Monitoring & Optimization : Implement and enhance monitoring tools to track model performance detect drift and optimize system efficiency and reliability.
• Collaboration & Support : Work closely with AI engineers data scientists and software engineers to ensure effective integration and deployment of machine learning solutions.
• Best Practices : Establish and enforce best practices in ML Ops including version control reproducibility security and performance optimization.

Requirements

What You Bring :

• 5 years of experience in ML Ops DevOps or similar roles specifically supporting AI / ML initiatives.
• Strong experience with machine learning frameworks such as PyTorch or TensorFlow.
• Expertise in containerization technologies (Docker Kubernetes) and cloud infrastructure (AWS Azure Google Cloud).
• Proven track record deploying and scaling ML models into production environments.
• Proficiency in automation tools and CI / CD pipelines (e.g. GitLab CI Bitbucket GitHub Actions).
• Experience with monitoring tools and logging frameworks for ML systems (e.g. Prometheus Grafana ELK stack).
• Excellent communication skills in English and the ability to collaborate effectively within international crossfunctional teams.
• Passion for technology sports analytics and creating impactful solutions in the sportstech domain.
• A key role shaping CUJUs ML operations strategy and implementation.
• Opportunity to contribute significantly to innovative products in a rapidly growing sporttech company.
• Competitive compensation package remote working flexibility and vibrant international team culture.
• Collaborative environment working closely with AI experts data scientists and leading football industry stakeholders.

Your Impact :

• Enable robust scalable and reliable ML operations significantly enhancing CUJUs AIdriven products and services.
• Accelerate innovation by ensuring efficient and automated deployment and management of critical AI models.
• Improve operational excellence through continuous optimization proactive monitoring and rapid issue resolution.

Ready to take ML Ops to the next level in sporttech Join CUJU and help transform the future of sports analytics!

Key Skills

Laboratory Experience,Vendor Management,Design Controls,C / C++,FDA Regulations,Intellectual Property Law,ISO 13485,Research Experience,SolidWorks,Research & Development,Internet Of Things,Product Development

Employment Type : Full Time

Experience : years

Vacancy : 1

Ml Ops Engineer • Frankenthal, Rhineland-Palatinate, Germany