AI/ML & Forward Deployed Engineer
Tasks
- Build and optimize machine learning models
- Build scalable AI services and integrations
- Containerize and orchestrate AI applications
- Create AI evaluation frameworks
- Deploy and maintain AI services in production
- Design machine learning solutions from proof of concept to production
- Develop generative AI applications with LLMs
- Ensure AI solutions meet governance security and data quality requirements
- Establish MLOps and LLMOps practices
- Implement model monitoring and drift detection
- Implement rag pipelines
Perks/Benefits
- Competitive salary
- Exposure to MLOps and LLMOps
- Hands on cutting edge AI work
- Remote work model
- Scalable security governance and observability focus
Skills/Tech-stack
Access Control | Anomaly Detection | Audit Logging | CI/CD | Classification | Deep learning | Docker | Drift Detection | Embeddings | Encryption | Event Driven | Event-driven architecture | Forecasting | GRPC | Generative AI | Kubernetes | LLMOps | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Model Drift | Model Drift Detection | Model Monitoring | Model versioning | Natural Language | Natural Language Processing | Observability | Prompt engineering | Python | REST APIs | Regression | Reranking | Retrieval-Augmented Generation | Role-Based Access | Role-Based Access Control
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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