Generative AI Engineer - NLP, RAG & Transformers

Tata Consultancy Services; Seattle (WA); On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Discretionary Annual Incentive.

Comprehensive Medical Coverage

Family Support

Job summary

Tata Consultancy Services in Seattle seeks a seasoned AI/ML engineer to drive generative AI projects within Agile teams. You will build and optimize RAG pipelines, train transformer-based models, and perform data prep with Python libraries.

The role emphasizes NLP tasks, model fine-tuning, evaluation, and deploying ML solutions with a focus on ethical AI and autonomous decision-making. Base salary reflects US market in Seattle.

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.

Responsibilities

• 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.

Skills

Agile Framework

Machine learning

Deep learning

Python

NumPy

Pandas

Scikit-learn

GANs

VAEs

Transformers

NLP

RAG

Data preprocessing

Model fine-tuning

Transformer architectures

Ethical considerations

Autonomous decision-making

Python programming

Analytical thinking

Education

Bachelor’s or master’s degree in computer science, data science or equivalent

Tools

TensorFlow

PyTorch

Job description

Tata Consultancy Services in Seattle seeks a seasoned AI/ML engineer to drive generative AI projects within Agile teams. You will build and optimize RAG pipelines, train transformer-based models, and perform data prep with Python libraries.

The role emphasizes NLP tasks, model fine-tuning, evaluation, and deploying ML solutions with a focus on ethical AI and autonomous decision-making. Base salary reflects US market in Seattle.