AI/ Machine Learning Engineer
Tasks
- Build and own agentic workflows end to end
- Collaborate with data science engineering and devops
- Create offline and online evaluation harness
- Design and implement machine learning and large language model features
- Design tool and skill surfaces
- Explore and integrate emerging AI techniques
- Implement agent security including tool permissioning and sandboxing
- Implement tracing and observability for agents
- Integrate models into robust inference infrastructure
- Operationalize machine learning pipelines
- Optimize agent performance and cost
Perks/Benefits
- Accidental insurance
- Flexible work environment
- Fully stocked kitchen
- Group medical insurance
- Maternity leave
- Medical insurance
- Online professional course access
- Paid time off
- People manager development programs
- Stock options
- Term insurance
Skills/Tech-stack
CI/CD | DVC | Docker | FastAPI | Git | Hugging Face | Jenkins | Kafka | Kubernetes | Langchain | Langfuse | Langgraph | Langsmith | MLflow | OpenTelemetry | Pandas | PyTorch | Python | RAG | Ray | Redis | Scikit-learn | Spark | Temporal | Vector Database
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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