Senior ML Engineer
Tasks
- Build agentic automation systems
- Create computer vision pipelines for quality control
- Deploy multi-agent systems
- Develop RAG pipelines and knowledge bases
- Implement enterprise LLM integration
- Manage prompts and model evaluation
- Optimize internal business automation workflows
- Set up AI governance frameworks
- Train and fine tune domain specific models
Perks/Benefits
- N/A
Skills/Tech-stack
Computer Vision | CrewAI | Generative AI | Langchain | Langgraph | Language Models | Large Language Models | MLOps | Machine Learning | Model Evaluation | Multimodal Models | Object Detection | Prompt engineering | Python | RAG | Transformers | Vector Databases
Education
N/A
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