Lead Fullstack AI/ML Engineer
Tasks
- Build AI deployment pipelines and automation frameworks
- Build APIs and enterprise integrations
- Build agentic workflows and RAG applications
- Collaborate with business stakeholders
- Design production grade AI and machine learning systems
- Design scalable cloud data and AI architectures
- Develop conversational AI assistants and chatbots
- Develop frontend and backend services
- Ensure security reliability performance and compliance
- Implement MLOps and LLMOps monitoring evaluation and governance
- Provide post production support and continuous optimization
- Translate requirements into scalable AI solutions
Perks/Benefits
- E-learning platform
- Hybrid work
- Life insurance
- Lunch subsidy
- Medical insurance
- Online training
- Social events
- Sport benefits
Skills/Tech-stack
AWS | Azure | Docker | Function Calling | GCP | Google ADK | Kubeflow | Kubernetes | LLMOps | Langchain | Langgraph | Language Models | Large Language Models | MLOps | MLflow | Microservices | Model Governance | Model Monitoring | Observability | Prompt engineering | PyTorch | Python | RAG | REST APIs | Scikit-learn | Structured outputs | TensorFlow | Workflow Orchestration
Education
N/A
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