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About the Role
This role focuses on developing and deploying LLM-based solutions for various business and product initiatives, with an emphasis on NLP and multi-modal applications. It requires a strong foundation in machine learning, a research-oriented mindset, and a deep understanding of complex problem statements. Collaboration with engineering and product teams is essential to ensure successful delivery. Staying up to date with the latest advancements in deep learning and LLM techniques is critical for this position.
About the team
The Foundational Model Team (FMT) aims to develop in-house Generative AI (GenAI) capabilities to drive innovation across Flipkart Group's diverse business applications.
If you're passionate about pushing the boundaries of state-of-the-art AI and making a significant impact on India's e-commerce landscape, Flipkart's FMT provides the ideal platform to solve real-world challenges and accelerate your career as a Data Scientist, especially in the GenAI space. You will work on Research in GenAI with funded compute.
You are Responsible for
● Exploring and applying recent research in the space of GenAI to the benefit of applications for Flipkart group
● Building in-house GenAI models that are competitive for Flipkart applications
● Facilitating utilisation of in-house models for business applications
To succeed in this role – you should have the following
A deep understanding of the algorithms they have worked on, both in theory and application. A strong grasp of Deep Learning principles, including the theory and practice of fine-tuning language models and a solid foundation in ML models. A commitment to staying updated with the latest research trends in deep learning, LLMs, and AI advancements
3 Non-negotiable competences for this role
Natural Language Processing, Deep Learning, Machine Learning
Job ID: 150851383
Skills:
Machine Learning, SAS, Matlab, Python, Sql, R, Statistical Modeling, Data Analysis
Skills:
prophet , Machine Learning, Scipy, Pyspark, Hypothesis Testing, Statistical Modelling, Sql, Numpy, Pandas, Spark, Databricks, Predictive Analytics, Python, Forecasting, Feature Engineering, Shapely, Scikit-learn, Time-Series Analysis, Model Explainability, Statsmodels, GeoPandas, Azure Data Analytics ecosystem
Skills:
Data Science, Machine Learning
Skills:
Machine Learning, Big Data, Deep Learning, Optimization Techniques, Statistics
Skills:
Machine Learning, Artificial Intelligence, Econometrics, Data Analysis, data analysis tools and techniques, Statistical Modeling
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