About this role
Senior Machine Learning Operations Engineer II (AI Native) at Life360. Location: United States or Canada. Role: automating pipelines, deploying models, monitoring models Requirements: 5+ years software/DevOps/data engineering experience with 2+ years building and maintaining MLOps infrastructure; strong Python, Docker, Kubernetes, CI/CD, ML lifecycle tooling, cloud (AWS/GCP/Databricks) experience and strong communication skills; Bachelor’s/Master’s degree preferred. Category: Engineering Seniority: Senior Level Tools: Python, Git, Docker, Kubernetes, EKS, GKE, FastAPI, MLflow, Kubeflow, SparkML, SQL, Spark/PySpark, dbt, Airflow, Kafka, Flink, vLLM, Triton Inference Server, TGI, Terraform, Apache Spark, Ray, Dask, Databricks, AWS, GCP, Synapse ML, Feast, Tecton Certifications: aws machine learning specialty, google cloud professional machine learning engineer, cka Commitment: Full Time Workplace: Remote Languages: English