AI & Data Engineer | LLMs
Tasks
- Build and maintain data pipelines
- Collaborate with engineering, product, and DevOps teams
- Collect, clean, and prepare datasets
- Deploy and maintain AI services
- Design and develop AI solutions
- Develop and optimize deep learning models
- Develop and optimize machine learning models
- Implement and maintain MLops workflows
- Improve model performance scalability and reliability
- Integrate LLMs into applications
- Monitor data quality and model performance in production
- Process data using SQL and NoSQL databases
Perks/Benefits
- N/A
Skills/Tech-stack
API Development | AWS | Azure | Deep learning | Docker | Docker Swarm | Google Cloud | Kubernetes | Language Models | Large Language Models | MLOps | Machine Learning | NoSQL | PyTorch | Python | Retrieval-Augmented Generation | SQL | TensorFlow
Education
N/A
Roles
AI | AI Engineer | Data Engineer | Engineer
Regions
Countries
States
Cities
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