AI Engineer
Tasks
- Build production AI architecture
- Collaborate with data and product teams to operationalize models
- Conduct code reviews and technical guidance
- Deploy LLM-based applications
- Design model serving for low latency
- Implement AIOps/MLOps pipelines
- Implement monitoring and alerting
- Integrate AI models into production systems
- Maintain data pipelines for AI preprocessing
- Mentor teams and improve models with production feedback
- Optimize model serving performance
Perks/Benefits
- N/A
Skills/Tech-stack
AIOps | AWS | Azure | C# | C++ | CI/CD | CloudFormation | Deep learning | Docker | ETL | Embeddings | FastAPI | Flask | GCP | Go | Grafana | Java | JavaScript | Keras | Kubernetes | Langchain | Language Models | Language Processing | Large Language Models | Llamaindex | MLOps | MLflow | Machine Learning | NLP | Natural Language | Natural Language Processing | NoSQL | Node.js | Pandas | Prometheus | Prompt engineering | PyTorch | Python | RAG | React | Reliability Engineering | SQL | SRE | Scikit-learn | Site Reliability | Site Reliability Engineering | Snowflake | Snowpark Python | Streams | Tasks | TensorFlow | Terraform | UDF | UDTF | Vector Search
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
Regions
Countries
States
Cities
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