Senior MLOps Engineer
Core
Build, launch, and run ML/AI products reliably by shaping infrastructure, tooling, and standards for internal platforms and customer-facing products.
Role type
Senior MLOps Engineer (hands-on IC with technical leadership)
Builds
Internal ML/AI platforms, customer-facing AI products, and standardized deployment pipelines
Domain
Travel technology, Machine Learning Operations, Cloud Infrastructure
Deliverable
production ML models
Required skills
IaC (Terraform, AWS CloudFormation), CI/CD (GitHub Actions, Jenkins), Containerization (Docker), Cloud platforms (AWS, GCP, Azure), Productionizing AI/Agentic systems, Managed/self-hosted ML infrastructure (SageMaker, Feast, Airflow), Model experiment tracking (MLflow, Weights & Biases), Monitoring (EvidentlyAI, Grafana), Python
Preferred skills
Cloud networking (VPC, CDN, WAF), Identity and access management (IAM, EntraID, SSO), Spacelift, Braintrust, ElevenLabs
Technologies
Terraform, GitHub Actions, AWS, Docker, SageMaker, Feast, Airflow, MLflow, Weights & Biases, EvidentlyAI, Grafana, Python
Responsibilities
Lead adoption of ML/AI tooling and standards, support AI infrastructure governance and automation, drive standardization of ML product deployment, automate service modernization and security fixes, improve cost tracking and reduce costs, contribute to technical strategy, mentor engineers
Seniority
Senior, hands-on IC with mentorship responsibilities
