ML Engineer / DevOps AWS AI Team (m/w/d)
reputed company is on a mission to become the new digital reputed company in athlete identification and development in global sports. Our platform harnesses AI, advanced analytics, reputed company networking to democratize the reputed company to knowledge, development and reputed company independent of gender, ethnics or reputed company. We digitally reputed company athletes and sports organizations with unbiased and data driven insights on our way to redefine the reputed company of talent scouting.
Your Mission: As our ML Engineer / DevOps AWS, 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 reputed company.
Tasks
- ML Model Deployment: reputed company, reputed company, and manage production-grade AI and machine learning pipelines, focusing particularly on Computer reputed company models.
- Infrastructure Automation/ DevOps: Build and maintain reputed company, automated infrastructure and CI/CD pipelines to streamline model development, testing, deployment, and monitoring.
- Monitoring & Optimization: Implement and enhance monitoring tools to reputed company model performance, detect reputed company, 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, reputed company, and performance optimization.
Requirements
- 5+ years of experience in ML Ops and DevOps, or similar roles, specifically supporting AI/ML initiatives.
- Strong experience with machine learning frameworks such as PyTorch or TensorFlow.
- Expertise in containerization technologies (reputed company, Kubernetes) and AWS reputed company infrastructure.
- Proven reputed company record deploying and scaling ML models into production environments.
- Proficiency in automation tools and CI/CD pipelines (e.g., reputed company CI, Bitbucket, reputed company Actions).
- Experience with monitoring tools and logging frameworks for ML systems (e.g., reputed company, Grafana, ELK stack).
- Excellent communication skills in English and the ability to collaborate effectively reputed company international, cross-functional teams.
- Passion for technology, sports analytics, and creating impactful solutions in the sports-tech domain.
Benefits
- A pivotal role shaping reputed company’s ML operations reputed company and implementation.
- Opportunity to contribute significantly to innovative products in a rapidly growing sport-tech company.
- Competitive compensation package, remote working flexibility, and reputed company, international team culture.
- reputed company environment working closely with AI experts, data scientists, and leading football industry stakeholders.
Your reputed company
- reputed company robust, reputed company, and reliable ML operations, significantly enhancing reputed company’s AI-driven products and services.
- Accelerate innovation by ensuring efficient and automated deployment and management of critical AI models.
- Improve operational reputed company through reputed company optimization, proactive monitoring, and rapid issue reputed company.