AI Engineer
Tasks
- Apply AIOps for scalable reliability
- Build production ready AI solutions
- Clean and prepare data
- Collaborate with data engineers
- Deploy models to cloud
- Design prompt-engineering workflows
- Fine-tune LLMs
- Implement generative AI using LLMs
- Implement machine learning models
- Integrate models into live systems
- Translate data into business insights
- Use vector databases for retrieval
Perks/Benefits
- Coaching support
- Corporate welfare plan
- Hybrid work
- Internal training academies
- Meal vouchers
- Remote work
- Supplementary health insurance
Skills/Tech-stack
AIOps | AWS | Azure | Classification | Clustering | Data cleaning | Databricks | Dimensionality Reduction | Fine Tuning | GCP | Git | LLMs | Langchain | NumPy | OpenAI API | Pandas | Prompt engineering | Python | Regression | SQL | SageMaker | Scikit-learn | Transformers | Vector Databases | Vertex AI
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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