Data Scientist
Tasks
- Build and automate machine learning pipelines
- Build and optimize RAG pipelines
- Deploy machine learning models via APIs
- Design and deploy machine learning models
- Design reproducible data workflows
- Develop domain specific LLM benchmarks
- Develop reinforcement learning agents
- Evaluate LLM outputs for hallucinations
- Integrate ML components into production systems
- Maintain experiment tracking and model versioning
- Monitor model performance and retrain
- Perform exploratory data analysis
Perks/Benefits
- N/A
Skills/Tech-stack
Actor-critic | Amazon S3 | Apache Airflow | Apache Spark | Attention Mechanisms | CI/CD | Containerization | DQN | Docker | ELT | ETL | Kubeflow | Kubernetes | Langchain | Llamaindex | MLflow | OpenAI Gym | PPO | Prompt engineering | Prompt evaluation | PyTorch | Python | Reinforcement Learning | Retrieval-Augmented Generation | Scikit-learn | TensorFlow | Transformers | Weights and Biases
Education
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