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# Gen AI Developer

- **Company:** Tata Consultancy Services Limited
- **Location:** Seattle, WA, United States
- **Experience:** Expert
- **Salary:** $120,000.0 - $150,000.0
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Artificial Intelligence, Computer Programming, Data Cleansing, Python (Programming Language), Machine Learning, Natural Language Processing, NumPy, Tensorflow, Feature Engineering, Pytorch, Retrieval-Augmented Generation, Large Language Models, Pandas, Scikit Learn, Information Technology, Variational Autoencoders, Document Classification
- **Published:** June 5, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=789ef531f5dad801

## About the Role

Do you have experience in Natural language processing?, Do you have a Master's degree?, * Experience in executing projects in Agile Framework

 * Proven experience in machine learning and deep learning frameworks (e.g., TensorFlow, PyTorch).

 * Strong programming skills in Python and familiarity with libraries such as NumPy, Pandas, and Scikit-learn.

 * Experience with generative models (e.g., GANs, VAEs, Transformers) and natural language processing.

 * Proficiency in RAG (Retrieval-Augmented Generation) techniques.

 * Strong understanding of natural language processing (NLP). Experience with data preprocessing and model fine-tuning.

 * Familiarity with evaluation metrics for RAG systems.

 * Knowledge of transformer architectures and training techniques.

 * Awareness of ethical considerations and bias mitigation strategies.

 * Understanding of autonomous decision-making algorithms.

 * Proficiency in programming language Python.

 * Strong analytical and problem-solving skills.

Roles & Responsibilities
Qualifications:

 * Bachelor's or master's degree in computer science, data science or equivalent

 * Develop and implement generative AI models using frameworks like TensorFlow and PyTorch.

 * Build and optimize RAG (Retrieval-Augmented Generation) pipelines.

 * Work on NLP tasks such as text classification, summarization, and conversational AI.

 * Perform data preprocessing, cleaning, and feature engineering using Python libraries (NumPy, Pandas).

 * Fine-tune and optimize transformer-based models and LLMs for specific use cases.

 * Evaluate model performance using RAG and NLP evaluation metrics.

 * Develop and integrate machine learning models into applications.

 * Apply autonomous decision-making logic in AI-driven workflows where needed.

Generic Managerial Skills, If any

 * Good to have Manufacturing domain understanding

 * Excellent communication

 * Team collaboration

 * Documentation and knowledge sharing, Qualifications : BACHELOR OF COMPUTER SCIENCE



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