Gen Ai Developer

Tata Consultancy Services; Long Beach (CA); On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Discretionary Annual Incentive.

Comprehensive Medical Coverage:Medical

Family Support: Maternal & Parental Le

Insurance Options: Auto & Home

Commuter Bene fits & Certification &

Time Off: Vacation, Time Off, Sick

Legal & Financial Assistance: 401K,

Job summary

Tata Consultancy Services Limited is seeking AI/ML specialists in the United States (California, Long Beach) to design and implement generative AI models, RAG pipelines, and NLP solutions. Key focus areas include text classification, summarization, conversational AI, and ethical AI with bias mitigation.

The role emphasizes deploying transformer-based models, fine-tuning LLMs, data preprocessing, and integrating ML into applications with attention to governance and responsible AI practices.

Qualifications

• 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.

Skills

Agile

TensorFlow

PyTorch

Python

NumPy

Pandas

Scikit-learn

Generative models

NLP

RAG

Data preprocessing

RAG metrics

Transformers

Ethics and bias

Autonomous decision-making

Analytical skills

Education

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

Generative AI frameworks

Build and optimize RAG pipelines

NLP tasks such as text classification, summarization, and conversational AI

Data preprocessing, cleaning, and feature engineering using Python libraries

Fine-tune and optimize transformer-based models and LLMs

Evaluate model performance using RAG and NLP evaluation metrics

Develop and integrate machine learning models into applications

Autonomous decision-making logic in AI workflows

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.

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
• 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.