6 months ago
Remote, United StatesStaff+
Base Salary
$115k - $183k/yr
Responsibilities
- Build and maintain enterprise feature stores and real-time data lakes for predictive modeling and NLP workflows.
- Design and implement resilient, secure GCP and Azure architectures using Terraform.
- Operationalize machine-learning models and LLM applications for batch and real-time inference.
- Develop agentic AI solutions using LangChain, LangGraph, CrewAI, and Vertex AI Agent Builder.
- Implement CI/CD pipelines for model training, deployment, integration, and rollback.
- Establish LLMOps and MLOps observability, governance, security, and compliance practices.
- Coordinate data and machine-learning workflows using Cloud Composer and Airflow.
- Collaborate with data scientists to define model requirements and optimize effectiveness, latency, and cost.
- Evaluate AI vendors and lead proofs of concept and pilot implementations.
- Partner with data science, risk, security, and product teams on AI adoption.
- Mentor onshore and offshore engineering teams and promote documentation and engineering best practices.
Requirements
- Bachelor’s or master’s degree in computer science, engineering, or a related field.
- 10+ years of experience building and operating enterprise-scale platforms.
- Experience with cloud infrastructure management, GCP, Vertex AI, MLOps, and Terraform is strongly preferred.
- Strong understanding of large language models and model development and deployment.
- Proficiency in Python, Java, or similar programming languages.
- Familiarity with CI/CD tools and practices.
- Familiarity with Vertex AI AutoML, DataRobot, Snorkel, and H2O.ai.
- Strong problem-solving, communication, collaboration, and technical leadership skills.
- Google Cloud certifications such as GCP Cloud Engineer or GenAI Leader are nice to have.
Benefits
- Medical, dental, vision, 401(k) match, paid time off, and PTO cash out.
- Family resources, EAP counseling sessions, Headspace access, backup child and elder care, and maternity/paternity leave.
- Professional development programs and on-demand leadership and development courses through DaVita’s StarLearning platform.
Tech Stack
Apache AirflowApache KafkaAzureGoogle BigQueryGoogle Cloud PlatformGrafanaH2O.aiJavaPythonSplunkTerraform
Categories
About DaVita
DaVita provides kidney care services for patients with chronic and end-stage kidney disease, operating outpatient dialysis centers and home dialysis programs across the U.S. The company generates revenue through reimbursed clinical services from Medicare, Medicaid, and commercial insurers, and also offers integrated care management and laboratory services. It is headquartered in Denver, Colorado, and is a public company listed on the NYSE under the ticker DVA.