Senior AI Platform Engineer
Remote
R
USD 142K-207K Senior-level Full Time
Tasks
- Architect and maintain machine learning training pipelines
- Build production agentic application infrastructure
- Create and maintain documentation and internal tooling
- Drive CI CD automation for ML workloads
- Evaluate MLOps tooling
- Implement AI ML governance best practices
- Implement model versioning testing validation and security
- Improve quality reliability and scalability through monitoring
- Integrate MLOps with SDLC security and infrastructure standards
- Mentor junior engineers
- Monitor concept drift and data drift
- Operationalize ML models reliably at scale
- Operationalize large language models and agent orchestration
Perks/Benefits
- Cell phone stipend
- Conference Benefit
- Continuous learning opportunities
- Fitness stipend
- Health benefits
- Parental leave
- Remote work flexibility
- Unlimited PTO
Skills/Tech-stack
AI/ML | AI/ML Governance | AWS | AWS Step Functions | Agent Orchestration | Amazon Bedrock | Amazon Bedrock AgentCore | Amazon EKS | Amazon SageMaker | Apache Spark | Bedrock AgentCore | CI/CD | Concept drift | Concept drift monitoring | Containerization | Continuous Retraining | Data Drift | Data Drift Detection | Docker | Drift Detection | Drift monitoring | Infrastructure as Code | LLM Operations | ML Governance | MLOps | Memory Management | Model Validation | Model versioning | Monitoring | Observability | PyTorch | Python | RAG | SDLC | Scikit-learn | Security | Step Functions | TensorFlow | Testing | Tool-Calling | Vector Databases | Vertex AI | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Language: en
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