Senior AI/ML Engineer
Tasks
- Automate data and model pipelines
- Build llm runtimes with governance and safe tool use
- Create standardized apis and sdks for ai workloads
- Deploy machine learning models to production
- Design and build generative AI platforms
- Develop vector-search and embedding pipelines
- Establish platform standards and best practices
- Implement evaluation experimentation and observability
- Implement guardrails and policy-as-code
- Implement retrieval augmented generation at scale
- Integrate compliance by design for healthcare data
- Orchestrate single and multi agent systems
- Provide technical leadership and mentorship
Perks/Benefits
- 401k
- Commuter benefits
- Disability insurance
- Employee referral program
- Fertility care benefits
- Free genetic testing for employees
- Life insurance
- Medical/Dental/Vision insurance
- Pregnancy and baby bonding leave
Skills/Tech-stack
AWS | Access Control | Agent Orchestration | Apache Spark | CI/CD | Datadog | Embeddings | Encryption | Experimentation | Feature Stores | GDPR | Guardrails | HIPAA | Kubeflow | Kubernetes | LLMOps | MLOps | MLflow | Observability | Policy-as-Code | Prompt engineering | PyTorch | Python | Retrieval-Augmented Generation | TensorFlow | Terraform | Vector Databases | “as-code”
Education
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