Lead AI ML Engineer
Tasks
- Build AI/ML models
- Build agentic AI applications
- Conduct feature engineering
- Create vector embedding pipelines
- Deliver ML from concept to production
- Deploy AI/ML solutions
- Design RAG systems
- Develop NLP computer vision solutions
- Implement LLM solutions
- Perform data preparation
- Set up model monitoring
- Track model performance
- Train and tune models
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Apache Spark | CI/CD | Cloud platform | Computer Vision | Deep learning | Faiss | GitHub Actions | Google Cloud | Google Cloud Platform | Hugging Face | Langchain | Language Models | Language Processing | Large Language Models | Llamaindex | MLOps | MLflow | Microsoft Azure | Model Monitoring | Natural Language | Natural Language Processing | Pandas | Pinecone | PyTorch | Python | RAG | Retrieval-Augmented Generation | Scikit-learn | TensorFlow | Vector Databases | Vector embeddings
Education
N/A
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