Senior Data Scientist - AI/ML Engineer
Tasks
- Build and deploy Generative AI systems
- Build semantic search and embedding models
- Deploy and monitor LLM applications
- Design agent architectures
- Develop APIs for model services
- Develop and optimize Multi-Agent Systems
- Develop transformer based models
- Fine-tune large language models
- Implement LLM evaluation metrics
- Implement rag pipelines
- Implement security and compliance for LLM applications
- Implement vector search using vector databases
- Mentor AI engineers
- Optimize cloud native training and inference pipelines
- Optimize model compression and distillation
Perks/Benefits
Skills/Tech-stack
API Development | AWS | Adapter Training | Agentic AI | Cloud Native | Data anonymization | Deep learning | Embeddings | FastAPI | Generative AI | Hugging Face | Injection prevention | Knowledge graph | Kubernetes | LLM Evaluation | Langchain | Language Models | Large Language Models | Llamaindex | LoRA | Machine Learning | Model Compression | Model Deployment | Monitoring | NumPy | Observability | Pandas | Pinecone | Prompt Tuning | Prompt engineering | Prompt injection | Prompt injection prevention | PyTorch | Python | RAG | Retrieval-Augmented Generation | Scikit-learn | Semantic Search | TensorFlow | Transformers | Vector Databases | Weaviate
Education
N/A
Regions
Countries
States
Cities
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