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- Data collection and preparation: Collect and prepare data for training and evaluating LLMs. This may involve cleaning and processing text data, or creating synthetic data
- Model development: Design and implement LLM models. This may involve choosing the right architecture, training the model, and tuning the hyperparameters
- Model evaluation: Evaluate the performance of LLM models. This may involve measuring the accuracy of the model on a held-out dataset, or assessing the quality of the generated text
- Model deployment: Deploy LLM models to production. This may involve packaging the model, creating a REST API, and deploying the model to a cloud computing platform.
- Responsible AI: Should have proficient knowledge in Responsible AI and Data Privacy principles to ensure ethical data handling, transparency, and accountability in all stages of AI development. Must demonstrate a commitment to upholding privacy standards, mitigating bias, and fostering trust within data-driven initiatives.
- Experience in working with ML toolkit like R, NumPy, MatLab etc..
- Experience in data mining, statistical analysis and data visualization
Key Skills
Ranked by relevance
ai
data mining
matlab
cloud
numpy
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- Posted
- May 07, 2025
- Type
- Full-time
- Level
- Entry
- Location
- Bengaluru East
- Company
- Infosys
Industries
IT Services
IT Consulting
Categories
Engineering
Information Technology
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3 roles aligned with this opportunity
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2026-05-19
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Software Developer-Data and Integration | Helsinki
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View Job Details
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Python Ansible Developer
2026-05-23
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