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Computer Scientist

3.00 to 7.00 Years Kanpur,Other Uttar Pradesh 16 Mar, 2025

Job Location	Kanpur,Other Uttar Pradesh
Education	Not Mentioned
Salary	Not Disclosed
Industry	BFSI
Functional Area	Not Mentioned
EmploymentType	Full-time

Job Description

TDMM Artificial Intelligence team is looking for a passionate, talented, and inventive Computer Scientist with a strong applied mathematics background, to build industry-leading technology with Foundation models including multimodal systems and the opportunity to contribute to our AI initiatives and drive innovation in financial services.Key job responsibilities: Leverage TDMM diverse multimodel financial data sets along with large-scale computing resources to fast-track advancements in LLMs, and multimodal systems, ensuring our model team stays at the forefront of innovation in science and help our clients. Work with large teams, including external collaborators Present research findingsBasic Qualifications: PhD, or Masters degree and 3 years of applied research experience 3 years of building machine learning models for business application experience Experience programming in Python or related language Experience with neural deep learning methods and machine learning Experience with neural deep learning methods and machine learning Experience with data-driven model development, time series analytics, stochastic optimisation, predictive analytics, uncertainty quantification, and more.Preferred Qualifications: PhD in Computer Science, Mathematics or related field Experience with LLMs or vision-based transformers and multimodal architectures Thorough understanding of AI/ML technology stack Experience in CNN, Transformer and Graph Neural Network. Experience with basic Reinforcement Learning algorithms Experience with generative deep learning models applicable to the creation of synthetic data like CNNs, GANs, VAEs, etc. Experience with large-scale machine learning systems such as profiling and debugging and understanding of system performance and scalability Experience with cross-domain/multi-task model training including datasets from diverse sources, balancing many axes of measurement in evaluation, and deploying to multiple products. Experience in publications at top-tier peer-reviewed conferences or journalBasic Qualifications Bachelors degree and 3 years of applied research experience 3 years of building machine learning models for business application experience Experience programming in Python or related language Experience with data-driven model development, LLMs, fine-tuning LLMs Experience with API, application developments with AI models,

Keyskills :
PythonMachine LearningDeep LearningNeural NetworksStochastic OptimizationPredictive AnalyticsUncertainty QuantificationTransformerReinforcement LearningTime Series AnalyticsCNNGraph Neural NetworkGenerative Deep LearningGANsVAEsLargeScale M

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