Experience
- 4 years of experience doing predictive modeling and machine learning in a production setting
- Strong quantitative abilities, distinctive problem-solving and excellent analytical skills.
- Strong organizational, communication, presentation and project management skills
- Understanding of eCommerce/retail business - a plus
Experience in deploying models at scale is a must
Technical Skillset
- Tensorflow/Pytorch (must have)
- Python
- Advanced Excel
- SQL
- Strong expertise and mathematical understanding of one or more of the following areas is required:
- Classic Machine learning techniques including regression, classification, similarity scoring and other predictive methods
- Deep Learning and Neural Networks, such as detectors, classifiers, GANs, Reinforcement Learning, style transfer, and related learning algorithms or architectures.
- Bayesian Methods and techniques
- Experience in developing AI solutions for any of the following domains: Computer vision, Image processing, Geospatial Intelligence, Natural Language Processing (NLP)
- AI Explainability methods, Adversarial Examples, and evaluation of AI algorithm performance.
- Prescriptive Modelling concepts and techniques
Role of the position
- Understand and scope business problems with stakeholders and define success criteria
- Develop and improve machine learning and/or reinforcement learning models, deep learning models and optimization alto s
- Deployment and performance evaluation of models in production
- Provide thought leadership in defining and solving business problems
- Publish papers, articles, patents on novel ideas and applications of data science techniques