Especialista de GenAI e Inteligência Artificial
Tasks
- Define AI engineering best practices
- Design and implement AI pipelines
- Ensure production observability quality and traceability
- Evaluate models and design prompts
- Integrate internal and third party models into bank platforms
- Lead end to end delivery of generative AI and machine learning products
- Maintain technical documentation and process documentation
- Mentor developers and conduct technical reviews
- Translate business needs into AI use cases
Perks/Benefits
- Childcare allowance
- Dental insurance
- Employee assistance program
- Extended maternity and paternity leave
- Hybrid work
- Life insurance
- Meal allowance
- Medical insurance
- Nutrition program
- Pharmacy discounts
- Private pension
- Totalpass
- Transport allowance
- Wellhub
Skills/Tech-stack
API Gateway | AWS | AWS Lambda | Access Control | Agent systems | Airflow | Amazon S3 | Azure | Azure DevOps | Benchmarks | CI/CD | CrewAI | DDD | Deep learning | Design Patterns | Docker | DynamoDB | EventBridge | Experiment design | FastAPI | Fine Tuning | GCP | Generative AI | Git | Injection Protection | Input Sanitization | Kubernetes | Langchain | Langgraph | Language Models | Language Processing | Large Language Models | Machine Learning | Model Evaluation | Multi-Agent | Multi-Agent Systems | Natural Language | Natural Language Processing | NumPy | Pandas | PostgreSQL | Prompt engineering | Prompt injection | Prompt-injection protection | PyTorch | Python | RAG | Regression testing | SNS | SQL | SQS | Scikit-learn | Serverless | Spark | Statistical inference | TensorFlow | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Regions
Countries
States
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