AI Engineer (Full stack)
Tasks
- Analyze data using statistical methods
- Build AI data pipeline with data crawling and ETL
- Create fact tables and support data modeling
- Deploy AI models and manage deployments
- Design and develop AI algorithms and models for payment and CX
- Document processes and standardize practices
- Integrate agents and perform system testing
- Mentor junior AI/ML engineers
- Optimize AI models for on premise performance and security compliance
- Test agent interactions and improve reliability
Perks/Benefits
Skills/Tech-stack
APIs | Apache Spark | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure Synapse | Azure Synapse Analytics | Chroma | Data Factory | Data Lake Storage | Databricks | Deep learning | DevOps | ETL | Faiss | Langchain | Language Processing | Machine Learning | NLP | Natural Language | Natural Language Processing | NoSQL | NumPy | Pandas | Pinecone | PyTorch | Python | RDBMS | REST | SQL | Synapse Analytics | TensorFlow | Vector Databases | Weaviate
Education
N/A
Roles
AI | AI Engineer | Developer | Engineer | Full Stack | Full Stack Developer | Stack Developer
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