Job Description
📋 Description Build reusable CI/CD workflows for model training, eval, and deployment Automate model versioning, approvals, and compliance checks Build modular AI infra: vector DBs, feature stores, registries Embed AI models and agents in real-time apps Evaluate and integrate tools like LangChain, vLLM, MLflow 🎯 Requirements Python: write high-quality, maintainable software Containerization and orchestration (Docker, Kubernetes) Infrastructure-as-code and deployment (Terraform, CI/CD) Monitoring/logging (Datadog, Prometheus, OpenTelemetry) ML Ops: versioning, drift detection, automated eval Scalable serving infra (vLLM, Triton, BentoML) 🎁 Benefits Remote-first, distributed team with global hubs Equity and career growth opportunities High ownership, fast-paced, impact-driven culture Mentorship and learning in AI/ML infra Cross-functional collaboration across teams Flexible work style and autonomy
