AI Engineering Manager
Buenos Aires, Buenos Aires, Argentina
EUR 40K-60K (estimate) Mid-level Full Time
Tasks
- Apply prompt engineering techniques
- Automate MLOps and LLMOps lifecycle
- Build and mentor AI engineering team
- Build scalable inference infrastructure
- Choose AI approach prompting RAG fine tuning classical ML
- Conduct technical reviews and architectural assessments
- Define AI system scope and limitations
- Design APIs and microservices
- Design and deliver RAG systems
- Design evaluation frameworks
- Identify and categorize model failures
- Implement CI/CD pipelines for AI ML
- Lead project delivery end to end
- Lead structured experiments
- Orchestrate services for latency cost and reliability
- Set production quality standards
Perks/Benefits
- Company-provided equipment
- English lessons
- Flexible working options
- Learning opportunities
- Mentorship programs
- Special day rewards
- Study plans and courses
- Travel opportunities
- Udemy Business
Skills/Tech-stack
API Design | AWS | Azure | CI/CD | Chunking | DataPreprocessing | Docker | Embeddings | Event Driven | Event-driven architecture | Experimentation | Few-Shot Learning | Few-shot | Fine Tuning | GCP | Git | Kubernetes | LLM | LLMOps | MLOps | MLflow | Microservices | Model Evaluation | Monitoring | Precision@k | Prompt engineering | Python | RAG | Recall@K | Reranking | Retraining | Retrieval | Structured outputs | Weights and Biases
Education
N/A
Roles
AI | AI Engineering | AI Engineering Manager | Engineering Manager | Manager
Regions
Countries
States
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