Founding ML enginner
Tasks
- Build machine learning pipelines
- Conduct model experiments and analysis
- Deploy machine learning models
- Design and develop machine learning models
- Establish model versioning reproducibility and testing practices
- Evaluate machine learning models
- Integrate machine learning models into production APIs
- Monitor deployed machine learning systems
- Optimize models for accuracy latency and scalability
- Perform data preprocessing and feature engineering
- Train machine learning models
- Translate business requirements into scalable ML solutions
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | AWS | Azure | Classification | Clustering | Computer Vision | Data Preprocessing | Deep learning | Docker | Embeddings | Feature Engineering | GCP | Generative AI | Git | Hyperparameter Tuning | Kubernetes | LLMs | Language Processing | Linear Algebra | MLOps | MLflow | Machine Learning | Model Evaluation | Natural Language | Natural Language Processing | Optimization | Probability | PyTorch | Python | RAG | Recommendation Systems | Regression | Scalable System Design | Scikit-learn | Series modeling | Statistics | Supervised Learning | System design | TensorFlow | Testing | Time Series | Time Series Modeling | Unsupervised Learning | Vector Databases
Education
N/A
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