Senior MLOps Engineer (f/m/d)

Job summary

adj*** is seeking a Senior MLOps Engineer to join their Data Science team, which is responsible for engineering the fundamental decision engine powering their platform. The role involves architecting intelligence to optimize over 200 million daily decisions, working with a 1PB+ behavioral data lake, and training deep learning models to predict individual user engagement. The ideal candidate will have a strong background in deploying and maintaining models in high-traffic environments and will own the full ML lifecycle.

Qualifications

• 5+ years in MLOps or ML Engineering with a track record of deploying and maintaining models in high-traffic environments
• Understand the end-to-end ML lifecycle well enough to know when a model needs retraining
• Proficient in serving frameworks like Triton, ONNX Runtime, or TF Serving
• Understand how ad delivery systems work and the business logic underneath

Responsibilities

• Keep models fresh and performant across 2 billion+ daily requests
• Design and manage CT pipelines and scheduling logic to ensure models stay current as new data flows in
• Build monitoring systems that catch data skew, distribution shifts, and performance decay in production, using frameworks like Evidently, with alerts integrated directly into production pipelines
• Wrap deep learning models into production APIs and lead load testing to validate performance at scale
• Use deep-dive resource profiling to guide efficiency and optimization
• Work with infrastructure teams to architect the ML platform, automated access to CPU/GPU clusters via Kubernetes, Docker, and orchestration tools like Airflow or Kubeflow

Skills

Industry

Relocation