Data Scientist and Machine Learning Engineer
3 weeks ago
HighRadius, a pioneering provider of cloud-based Autonomous Software for the Office of the CFO, has transformed critical financial processes for leading companies worldwide.
The company, trusted by prestigious organizations, optimizes order-to-cash, treasury, and record-to-report processes, earning recognition in Gartner's Magic Quadrant and a spot in Forbes Cloud 100 List.
We're looking for a dynamic Data Scientist to join our Engineering Team. This role responsibilities include participation in data integrity, data accuracies, model engineering, and more to render accurate models/automation logics.
Key Responsibilities:
- Develop and deliver ML models to solve business problems in the accounts receivables space.
- Implementation and validation of machine learning models & algorithms and oversee the deployment of machine learning models into production environments.
- Take ownership of assigned tasks and ensure quality delivery of product features & enhancements.
- Work closely with data scientists & engineers to understand model requirements and improve deployment process.
Requirements:
- 3 - 5 years of industrial experience in deep learning research and ML development.
- Hands-on experience in python or similar language used in ML.
- Good knowledge of machine learning libraries like Numpy, Pandas, Scikit-learn, matplotlib, seaborn, PyTorch, Keras, Plotly, Jupyter.
- Strong communication, interpersonal and presentation skills, capable of working effectively with cross-functional teams.
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