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

CUJU; Frankenthal (Pfalz); Remote; Vertraulich; Vollzeit

Zusammenfassung

CUJU, a rapidly growing sport-tech company, is seeking a skilled ML Ops Engineer to operationalize AI and machine learning models. This pivotal role involves deploying production-grade ML systems and working with cutting-edge technologies to shape the future of athlete development. The ideal candidate will have extensive experience in ML Ops and a passion for sports analytics. Join CUJU in redefining talent scouting and create impactful solutions in an international team environment.

Leistungen

Competitive compensation package

Remote working flexibility

Vibrant international team culture

Collaborative environment with AI experts

Qualifikationen

• 5+ years of experience in ML Ops or DevOps focusing on AI/ML.
• Strong experience with frameworks like PyTorch or TensorFlow.
• Proficiency in automation tools and CI/CD practices.

Aufgaben

• Develop, deploy, and manage ML pipelines focused on Computer Vision.
• Build and maintain automated infrastructure for model management.
• Implement tools to monitor and optimize ML system performance.

Kenntnisse

ML Ops

DevOps

AI

Machine Learning

Containerization

Automation

Monitoring

Tools

PyTorch

TensorFlow

Docker

Kubernetes

AWS

Azure

Google Cloud

GitLab CI

Bitbucket

GitHub Actions

Prometheus

Grafana

ELK Stack

Jobbeschreibung

Location: Munich or Remote (Germany-based)
Industry: Sport-Tech | Start: ASAP | Languages: Fluent English

CUJU is on a mission to become the new digital standard in athlete identification and development in global sports. Our platform harnesses AI, advanced analytics, and digital networking to democratize the access to knowledge, development and career opportunities independent of gender, ethnics or origin. We digitally empower athletes and sports organizations with unbiased and data driven insights on our way to redefine the future of talent scouting.

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, you'll be responsible for building, deploying, and maintaining robust ML systems, ensuring seamless integration and reliable performance at scale.

Tasks

What You'll Work On:

• ML Model Deployment: Develop, deploy, and manage production-grade 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, cross-functional teams.
• Passion for technology, sports analytics, and creating impactful solutions in the sports-tech domain.

Benefits

What We Offer:

• A pivotal role shaping CUJU’s ML operations strategy and implementation.
• Opportunity to contribute significantly to innovative products in a rapidly growing sport-tech 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 CUJU’s AI-driven 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.