Lead Engineer - Machine Learning
Tasks
- Build Retrieval Augmented Generation systems
- Build recommendation systems
- Build search and information retrieval systems
- Collaborate with multidisciplinary stakeholders
- Conduct offline human in the loop evaluations
- Construct knowledge graphs
- Design prompt engineering and instruction tuning
- Develop NLP LLM and generative AI algorithms
- Document results in technical reports and publications
- Generate synthetic data for training
- Implement hybrid architectures
- Integrate models with physics based reasoning workflows
- Perform entity and relation extraction
- Run experiments and define evaluation metrics
- Validate solutions for safe deployment
Perks/Benefits
Skills/Tech-stack
Data Pipelines | Data analytics | Detection algorithms | Entity Extraction | Evaluation methodology | Few-Shot Learning | Few-shot | GPU deployment | Generative AI | Hugging Face | Human-in-the-loop | Information Extraction | Information Retrieval | Instruction Tuning | JAX | Knowledge graphs | Language Models | Language Processing | Large Language Models | Machine Learning | Natural Language | Natural Language Processing | Optimization Algorithms | Prompt engineering | PyTorch | Python | RAG | Recommendation Systems | Relation extraction | Retrieval-Augmented Generation | Safety Guardrails | Semantic Search | Structured Information Extraction | TensorFlow | Zero-Shot | Zero-shot Learning
Education
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