Senior AI Engineer
Tasks
- Build end to end data and training pipelines
- Deploy and monitor AI services in production
- Design train fine tune evaluate AI models
- Develop RAG pipelines and fine tune LLMs
- Expose AI services as microservices integrate event workflows
- Integrate orchestration workflows with business APIs
- Mentor junior engineers and set technical direction
- Perform exploratory data analysis and forecasting
Perks/Benefits
- N/A
Skills/Tech-stack
AWS EMR | Airflow | BentoML | CI/CD | CNN | DVC | Data Lake | Data Visualization | Databricks | Deep learning | Docker | GCP Dataproc | Git | Hugging Face | Hugging Face Transformers | Kubernetes | LLMOps | Langchain | Language Models | Large Language Models | MLOps | MLflow | Matplotlib | NumPy | OpenCV | Pandas | Plotly | Power BI | Prefect | Prompt engineering | Prophet | PySpark | PyTorch | Python | RAG | Retrieval-Augmented Generation | SQL | Scikit-learn | Series forecasting | Spark | StatsModels | Streamlit | Tableau | TensorFlow | Time Series | Time Series Forecasting | Transformers | Vector Databases | Weights and Biases
Education
Roles
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