Gen AI Developer

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

Job Description

• 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.

Must Have Technical/Functional Skills

• 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

• 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

Base Salary Range : $120,000 to $150,000 Per Annum

TCS Employee Benefits Summary

• Discretionary Annual Incentive.


• Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.


• Family Support: Maternal & Parental Leaves.


• Insurance Options: Auto & Home Insurance, Identity Theft Protection.


• Convenience & Professional Growth: Commuter Bene fits & Certification & Training Reimbursement.


• Time Off: Vacation, Time Off, Sick Leave & Holidays.


• Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

Qualifications: BACHELOR OF COMPUTER SCIENCE