Related skills
sql python pandas tensorflow pytorch📋 Description
- Design end-to-end ML solutions from experimentation to production
- Build scalable ML pipelines and infrastructure
- Optimize model performance, efficiency, and reliability
- Write clean, production-quality code
- Conduct rigorous experimentation and model evaluation
- Troubleshoot and resolve complex technical challenges
🎯 Requirements
- ML Fundamentals: supervised, unsupervised, reinforcement learning
- Model Development: feature engineering, training, evaluation, tuning
- DL & Frameworks: TensorFlow, PyTorch; CNNs/RNNs/Transformers
- LLMs & Generative AI: production LLM apps; prompt engineering; RAG
- Data & Programming: Python, pandas, NumPy, SQL, ETL/ELT, Spark
- MLOps & Cloud Infra: deployment, Docker, CI/CD, monitoring
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