Senior AI/ML Engineer
Tasks
- Advise on business value of AI
- Build agentic systems
- Deploy machine learning in production
- Design multi-agent systems
- Develop scalable APIs
- Ensure AI system traceability
- Ensure privacy-by-design
- Fine tune models with PEFT
- Implement RAG to reduce hallucinations
- Manage MLOps workflows
- Optimize model inference
- Orchestrate multi-agent workflows
- Select appropriate models for use cases
Perks/Benefits
Skills/Tech-stack
AI Act | API Development | AWS | Agent systems | Agentic Systems | Azure | Cloud platform | Databricks | Deep learning | Foundation Models | Google Cloud | Google Cloud Platform | LLM | Language Models | LoRA | MLOps | Machine Learning | Model Deployment | Model Inference | Multi-Agent | Multi-Agent Systems | PEFT | Python | RAG | Small Language Models | Snowflake | Sovereign AI
Education
N/A
Regions
Countries
States
Cities
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