AI/ML & Forward Deployed Engineer
Tasks
- Build and optimize deep learning and NLP models
- Build scalable AI services with REST and gRPC
- Containerize and orchestrate AI applications with Docker and Kubernetes
- Design develop and deploy machine learning and Generative AI solutions
- Develop RAG pipelines and embeddings based applications
- Ensure AI governance security RBAC encryption and auditability
- Establish MLOps and LLMOps practices
- Implement AI evaluation frameworks
- Implement CI CD pipelines for AI deployments
- Perform model monitoring drift detection and performance tracking
- Troubleshoot and improve production AI systems
Perks/Benefits
Skills/Tech-stack
Access Control | Anomaly Detection | CI/CD | Classification | Data Governance | Deep learning | Docker | Drift Detection | Embeddings | Encryption | Event Driven | Event-driven architecture | Forecasting | GRPC | Kubernetes | LLMOps | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Model Monitoring | Model versioning | Natural Language | Natural Language Processing | Prompt engineering | Python | RAG evaluation | REST APIs | Regression | Reranking | Retrieval-Augmented Generation | Role-Based Access | Role-Based Access Control | Security
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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