AI/ML & Forward Deployed Engineer
Tasks
- Build optimize machine learning models
- Build scalable AI services and integrations
- Collaborate with stakeholders to translate requirements into solutions
- Containerize and orchestrate applications using Docker and Kubernetes
- Create AI evaluation frameworks
- Design develop and deploy machine learning and AI solutions
- Develop GenAI applications using LLMs and RAG
- Ensure data governance security RBAC encryption and auditability
- Establish MLOps and LLMOps practices
- Implement model monitoring drift detection and performance tracking
- Support production operations troubleshooting and continuous improvement
Perks/Benefits
- Career growth
- Exposure to scalable secure observable systems
- Hands on cutting edge AI projects
- Remote work model
- Stakeholder collaboration
Skills/Tech-stack
Access Control | Anomaly Detection | Audit Logging | CI/CD | Classification | Data Governance | Data Quality | Deep learning | Docker | Embeddings | Encryption | Event Driven | Event-driven architecture | Forecasting | GRPC | Information Retrieval | 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 APIs | Regression | Reranking | Retrieval-Augmented Generation | Role-Based Access | Role-Based Access Control
Education
N/A
Roles
AI | AI Engineer | Engineer | LLMOps Engineer | Learning Engineer | MLOps Engineer | Machine Learning Engineer
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