AI/ML & Forward Deployed Engineer
Tasks
- Build and optimize machine learning models
- Build scalable AI services with REST and gRPC
- Containerize and orchestrate AI applications with Docker and Kubernetes
- Create AI evaluation frameworks
- Design develop and deploy AI and machine learning solutions
- Develop generative AI applications with LLMs and RAG
- Ensure data quality governance security and RBAC
- Implement MLOps and LLMOps pipelines
- Integrate encryption and auditability controls
- Monitor performance tracking and continuous model improvement
- Set up model monitoring and drift detection
- Troubleshoot production AI systems and optimize solutions
Perks/Benefits
- Collaborative environment
- Exposure to MLOps and LLMOps
- Hands on experience with generative AI
- Remote working model
Skills/Tech-stack
Access Control | Anomaly Detection | Audit Logging | CI/CD | Classification | Data Governance | Data Quality | 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 Evaluation | Model Monitoring | Model versioning | Natural Language | Natural Language Processing | Observability | Prompt engineering | Python | REST API | Regression | Reranking | Retrieval-Augmented Generation | Role-Based Access | Role-Based Access Control
Education
N/A
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