Senior AI Specialist (Operations) (x/f/m)

About Us

We are a cutting-edge technology company building the next generation of intelligent systems. Our mission is to leverage AI to solve complex real-world problems, delivering innovative solutions that impact millions. We believe in a collaborative environment where every team member contributes to our success and grows professionally.

The Role

We are seeking a highly skilled and motivated Senior AI Specialist with a strong focus on Operations to join our dynamic team in Berlin. As a Senior AI Specialist (Operations), you will be instrumental in bridging the gap between AI research and production. You will be responsible for the end-to-end operationalization of our AI models, ensuring their reliability, scalability, and performance in live environments. This role requires a deep understanding of machine learning principles combined with strong engineering and operational acumen.

Responsibilities

• Design, develop, and maintain robust MLOps pipelines for continuous integration, delivery, and deployment of AI models.
• Monitor the performance, health, and data quality of deployed AI models, implementing alerting and self-healing mechanisms.
• Collaborate closely with AI/ML researchers and data scientists to transition models from research prototypes to production-ready systems.
• Optimize AI inference serving infrastructure for latency, throughput, and cost efficiency.
• Implement and manage version control, experimentation tracking, and model registries.
• Ensure compliance with data governance, security, and privacy standards for AI systems.
• Troubleshoot and resolve production issues related to AI model performance or infrastructure.
• Mentor junior team members and contribute to best practices in MLOps and AI operations.

Requirements

• Bachelor's or Master's degree in Computer Science, Machine Learning, AI, or a related technical field.
• 5+ years of professional experience in MLOps, AI Engineering, or a similar role focused on operationalizing machine learning models.
• Strong proficiency in Python and experience with relevant ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Hands-on experience with cloud platforms (AWS, Azure, GCP) and their ML services.
• Expertise in containerization technologies (Docker) and orchestration tools (Kubernetes).
• Solid understanding of data pipelines, ETL processes, and data warehousing concepts.
• Experience with CI/CD tools and practices in an ML context.
• Familiarity with monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack).
• Excellent problem-solving skills and the ability to work independently and as part of a team.
• Strong communication skills in English, both written and verbal.

Nice to Have

• Experience with distributed computing frameworks (e.g., Spark).
• Knowledge of German is a plus.
• Contributions to open-source MLOps projects.