Lead ML & AI Engineer
Tasks
- Architect retrieval-augmented generation systems
- Build autonomous agents and orchestration workflows
- Calibrate model confidence and implement human in the loop workflows
- Create explainable responsible AI solutions
- Define AI first platform technical architecture
- Define AI success metrics and measure business impact
- Design multimodal AI solutions for imagery text and structured data
- Develop embedding models and vector search solutions
- Evaluate emerging AI technologies and guide adoption
- Implement memory management and tool integration
- Lead representation learning systems design and implementation
- Mentor engineers and data scientists
Perks/Benefits
- N/A
Skills/Tech-stack
Agentic AI | Autogen | Autonomous Agents | BERT | CNN | Confidence Calibration | CrewAI | Deep learning | Diffusion Models | Embedding Models | Foundation Models | GAN | GRU | Generative AI | Geospatial Data | Human-in-the-loop | LSTM | Langgraph | Language Models | Large Language Models | Machine Learning | Memory Management | Multimodal AI | Orchestration | PyTorch | Python | Representation Learning | Retrieval-Augmented Generation | Scikit-learn | Spatial indexing | TensorFlow | The Loop | Tool integration | Transformers | Vector Search | Vision Language Models | Vision-language
Education
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