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Senior MLOps Engineer
Sin especificarTiempo completoDevOps & SREEnterprise SoftwareArtificial Intelligence
Build and operate scalable infrastructure for machine learning development and inference, including automated pipelines, model serving, cloud resources, and observability.
Responsabilidades
- Develop and manage scalable machine learning pipelines, CI/CD workflows, and orchestration frameworks
- Design and maintain model-serving infrastructure and high-throughput, low-latency inference architectures
- Implement deployment practices including A/B testing, canary releases, and rollbacks
- Develop logging, alerting, and monitoring to track model development and reliability
- Improve GPU utilization, autoscaling, and resource allocation
- Build and maintain feature stores, data pipelines, and scalable storage solutions
Requisitos
- At least 5 years of experience in MLOps or DevOps roles
- Experience building MLOps infrastructure from the ground up
- Experience with MLOps platforms and machine learning frameworks such as PyTorch or TensorFlow
- Experience with model-serving frameworks and scalable, low-latency inference
- Experience building and managing data pipelines for model training and inference
- Experience with Kubernetes on AWS, GCP, or Azure, and infrastructure as code tools such as Terraform, Helm, or GitOps
- Strong software engineering skills in Python, Bash, and Go
- Experience with AI/ML systems security, compliance, and model governance
- Proficiency with observability and monitoring tools such as Prometheus, Grafana, Datadog, or OpenTelemetry
- A bachelor's or master's degree in computer science, engineering, or a related field, or equivalent practical experience
Se valora
- Experience with ML workflow tools such as MLflow or Kubeflow
- Experience with FastAPI and backend applications
- Familiarity with Databricks or Snowflake
- Exposure to SRE practices or cloud security certifications
- Hands-on experience with Prometheus, Grafana, or Datadog
Beneficios
- Competitive compensation with salary and equity
- Health coverage for employees and dependents
- Paid parental leave, including for adoptive and surrogate journeys
- Relocation support for moves to an office location