AI Engineer - DDAI
Tasks
- Build and deploy AI solutions
- Build batch real time and streaming pipelines
- Collaborate to embed AI into products
- Deploy GenAI applications
- Deploy models to production
- Design machine learning models
- Develop data pipelines
- Evaluate genai models
- Implement RAG patterns
- Implement prompting techniques
- Monitor model performance
- Perform fine-tuning
- Troubleshoot model data and deployment issues
- Write documentation
Perks/Benefits
- Additional leave
- Community volunteering opportunities
- Employee benefits
- Flexible work
- Learning and development
Skills/Tech-stack
A/B | A/B Testing | Apache Spark | Autogen | B testing | Big Data | CI/CD | Deep learning | Docker | Dspy | Fine Tuning | GenAI | Git | Hadoop | Kubernetes | LLM | Langchain | Llamaindex | MLOps | Machine Learning | Prompt engineering | PyTorch | Python | RAG | Scikit-learn | TensorFlow
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
Regions
Countries
States
Cities
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