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Transmit Security provides businesses with state-of-the-art tools necessary to develop secure, trustworthy and comprehensive digital identity experiences designed to foster innovation and growth. Customer-experience focused and cybersecurity conscious leaders depend on the xCIAM platform of Transmit Security to deliver seamless and safe experiences for their customers across diverse channels and devices.
Transmit Security caters to a wide array of the world’s largest banks, insurers, retailers, among other flagship brands, collectively managing over $1.3 trillion in commerce annually. For more information, please visit www.transmitsecurity.com.
About the Role:
Transmit Security is a leading player that is gearing up for an exciting year. In this role, you will play a crucial part in the development of a ground-breaking SaaS product.
We are on the lookout for a creative Data Scientist with a knack for addressing complex problems, to be a part of our team.
What You'll Be Doing:
- Design ML/DL processes to address multifaceted challenges, majorly in the Computer Vision domain, among others.
- Establish the basis of a new, thrilling ML-based product, inclusive of defining best practices, setting data pipeline requirements, evaluating metrics, aiding data exploration and visualization.
- Participate in introducing SOTA algorithms to the production environment, to alleviate key pain points for customers.
Qualifications:
- Bachelor's degree in computer science or a related domain.
- Minimum of 3 years of experience as a data scientist, algorithms developer, software engineer, or CV engineer.
- Possess adeptness in Python.
- Acquainted with data science toolkits like NumPy, Scikit-learn, OpenCV, PyTorch, TensorFlow etc.
- Familiar with cloud-based infrastructure.
- Independent, persistent and proactive individual.
- Excellent social skills.
- Willingness and enthusiasm for learning new concepts.
Advantages:
- Master’s degree in Computer Science or a related domain.
- Experience with Computer Vision algorithms.
- Experience in data mining and machine learning.
- Ability to manage and manipulate unstructured data with NoSQL databases.
- Experience with Vector DBs.
- Proficiency in identity management, risk assessment, fraud detection.
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