job description - Research Scientist
- Conduct research for novel ML use cases and applications
- Build initial ML prototypes and models
- Conduct systematic experiments across multiple models and hyper parameter combinations
- Create or augment datasets
- Clean, process, analyze and visualize data and model performance
- Keep up-to-date with new research literature and state-of-the-art machine learning and deep learning approaches
- Evangelize new ML approaches and ideas
- Mentor software, data and ML engineers
Tech Stack
- Python
- Jupyter notebooks
- Machine learning: Scikit-learn, Fast.ai, AllenNLP, OpenCV, HuggingFace
- Deep learning: TensorFlow, PyTorch, MXNet, JAX, Chainer etc.
- Linux
- Cloud: AWS/Azure/GCP; SageMaker, S3, EC2, Boto
- Hyperparameter tuning: Neptune, Comet, Weights & Biases
- Git, Github/Bitbucket
Requirement
Candidates should possess a Bachelor's Degree qualification.
Skills:
- Msc in a quantitative discipline like Computer Science, AI, Physics, Biology, Economics etc.
- Scientific mindset and first-principles thinking
- Depth and breadth of state-of-the-art approaches in science
- Prior experience in conducting academic or industry research
- Creative problem solving
- Machine Learning
- Deep Learning
- Design and develop ML prototypes and models
- Written and verbal communication to work with cross-functional teams
- Presentation skills to present results and insights to leadership
- Derive statistically valid insights from data science models to improve product development, marketing or business strategies.
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About the company
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GLODARIS is a global consultancy firm focusing on, Lean Manufacturing Systems, Lean Six Sigma Services, Data and Information Management, Data collection, Bigdata, Geographical Information System, etc.
