Data Scientist - Deep learning

Department: Market Innovation -Blockchain

Experience - At least 3+years experience in building highly available & scalable platforms & experience with DS related Technologies.

Department: NPCI Data Analytics

Overview:

• NPCI Data Analytics team is seeking a talented and motivated Data Scientist to join our team.
• As a Data Scientist, you will play a crucial role in modelling complex problems, uncovering insights, and identifying new opportunities using statistical, algorithmic, mining, and visualization techniques.
• You will be focused on utilizing NPCI product data and analytics to solve business problems by applying machine learning and deep learning techniques, conducting statistical analysis, and building high-quality predictive systems that are integrated with our services.

Key Responsibilities:

• Develop and implement deep learning models for various applications.
• Work with large datasets and perform exploratory data analysis.
• Develop custom loss functions and evaluation metrics.
• Collaborate with cross-functional teams to ensure successful deployment of models.
• Optimize models for performance, scalability, and efficiency.
• Conduct research and stay up to date with the latest developments in the field of deep learning.
• Participate in code reviews and provide feedback to team members.

Qualifications:

• Bachelor's or masters degree in computer science, Mathematics, or related field with 3+ years of experience.
• Strong proficiency in Python programming language.
• Good understanding of data structures and algorithms.
• Strong understanding of statistics and probability distributions
• Hands-on Experience with GANs and Transformers
• Experience with both Tensorflow and Pytorch frameworks.
• Familiarity with Google Cloud Platform (GCP) and working on GPU based machines.
• Strong problem-solving skills.
• Excellent written and verbal communication skills.
• Ability to work independently as well as in a team environment.
• Strong Communication skills and ability to simplify complex information and results into simple concepts and actionable insights for a variety of audiences.