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Data Science - Senior Data Scientist (Deep Learner) @ Paytm

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 Data Science - Senior Data Scientist (Deep Learner)

Job Description

About the Role
We're seeking Big & Deep Learners to join our pioneering team developing Paytm Large Model (PLM), a foundation model for digital payment intelligence.
You'll be at the forefront of :
Building and tweaking big transformer architectures on big data of payment and other activities (onboarding, login, order, invest, )
Build Encoder to create embeddings that capture the DNA of payment ecosystems
Further build Decoder or Autoregressive Generative model for behavioural prediction/detectionDo whatever it takes to enrich and use the model for downstream applications : IFT/DPO/RPO.
 
Key Responsibilities-
Design and develop large-scale foundation models for learning from payment transactions, user behavior, merchant patterns etc
  • Create sophisticated encoder architecture to generate embeddings that capture nuanced relationships in financial data
  • Build decoder only model as well for generative downstream tasks
  • Build and optimize training pipelines for processing billions of payment transactions
  • Develop evaluation frameworks for measuring model performance across multiple financial use cases
  • Implement fine
  • tuning mechanisms for model adaptation across different payment environments
  • Collaborate with MLOps team for production deployment and scaling
  • Research and implement latest advances in foundation models and their applications to financial data
  • Make the model wiser everyday by enriching it through state of the art IFT, DPO, PPO .
 
Required Qualifications-
 
  • Solid in 3 pillars of learning from data : Optimization, Statistics and Linear Algebra
  • Ph.D. or Master's degree in Deep Learning or related field
  • Strong track record in building and deploying foundation models, preferably on non text/image data such as time series, temporal point process or in general, numerical vector sequences
  • Deep understanding of transformer architectures and their variations
  • Expertise in PyTorch or TensorFlow for large
  • scale model development
  • Experience with distributed training systems and optimization techniques
  • Strong programming skills in Python and ML deployment frameworks
  • Must be good in data structures and algorithms
  • Understanding of payment systems and financial data structures
Preferred Experience-
  • Previous work with financial or transaction data
  • Experience with large encoder/decoder models and representation learning
  • Knowledge of privacy
  • preserving ML techniques
  • Background in self
  • supervised learning approaches
  • Familiarity with MLOps and production deployment of large models
  • Experience with model compression and optimization techniques
  • Working knowledge on Knowledge Graph representation learning using Graph Neural Network (GraphSage/GAT/Graph Transformer ..) is a plus
Technical Skills-
Languages: Python, PySpark, SQL- Frameworks: PyTorch/TensorFlow, Hugging Face- Infrastructure: Cloud platforms (AWS/GCP), distributed training systems- Tools: Git, Docker, ML experiment tracking platforms- Processing: Spark, distributed computing
 
Soft Skills-
 
Strong research orientation with practical implementation skills- Ability to translate complex technical concepts to business stakeholders- Excellence in technical writing and documentation- Collaborative mindset for cross-functional team projects

Job Classification

Industry: Banking
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time

Contact Details:

Company: Paytm
Location(s): Bengaluru

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Keyskills:   data scientist time series analysis technical writing python batch processing sql docker compensation and benefits deep learning tensorflow git data science spark gcp use cases pytorch onboarding aws architecture

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