Senior AI Engineer
Tasks
- Automate model training testing deployment updates
- Build data ingestion preprocessing feature engineering workflows
- Build scalable training pipelines
- Deploy AI solutions
- Design scalable AI/ML systems
- Develop LLM applications with RAG and fine tuning
- Ensure operational stability and scalability
- Implement models into production
- Maintain CI/CD pipelines for ML workflows
- Monitor and evaluate agent workflows
- Monitor model performance manage versioning update models
- Perform hyperparameter tuning and validation
Perks/Benefits
- N/A
Skills/Tech-stack
AgentOps | Autogen | Azure | CI/CD | CrewAI | Databricks | Deep learning | FastAPI | Fine Tuning | Guardrails | JSON | Keras | LLM Fine-tuning | LLMOps | Langgraph | Language Processing | Linux | MLflow | Machine Learning | NLP | Natural Language | Natural Language Processing | NumPy | Pandas | Prompt engineering | PySpark | PyTorch | Python | RAG | Retrieval-Augmented Generation | Scikit-learn | Semantic Search | Spacy | Transformers | Unix | Vector Databases
Education
N/A
Roles
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