Research Scientist (AI/ML)
Tasks
- Analyze data for feasibility studies
- Collaborate on integration and deployment of ML solutions
- Conduct data analysis for forecasting classification and anomaly detection
- Develop machine learning proof of concepts
- Perform EDA on datasets
- Research machine learning techniques
- Train evaluate deploy machine learning models
Perks/Benefits
Skills/Tech-stack
Agentic AI | Anomaly Detection | Azure | Dask | Data Analysis | Databricks | Deep learning | Docker | Exploratory Data Analysis | Generative AI | Git | Hugging Face | Hugging Face Transformers | Language Models | Language Processing | Large Language Models | MLOps | MLflow | Machine Learning | Natural Language | Natural Language Processing | Pandas | Polars | Prefect | Prompt engineering | PyTorch | Python | RAG | Retrieval-Augmented Generation | Scikit-learn | Series forecasting | Tabular Data | Time Series | Time Series Forecasting | Transfer Learning
Education
Regions
Countries
States
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