Build, maintain, and standardize third-party AI model integrations.
Design and maintain AI infra for ML life cycle: data, training, evals, deployments.
Collaborate with PMs, researchers, and AI engineers to meet infra needs.
Optimize and scale models for efficient inference.
Deploy, monitor, and manage AI models in production.

🎯 Requirements

Experience deploying and managing AI models in production.
Experience with large-volume data pipelines (Spark, Flume, Dask).
Familiarity with AWS/GCP/Azure and containers (Docker, Kubernetes).
Knowledge of DevOps and MLOps best practices.
Strong problem-solving and communication skills.

🎁 Benefits

Base salary range: $180,000 - $286,000/year.
Generous healthcare package.
401k matching program.
Catered lunches.
Flexible vacation time.

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