Gen AI Developer

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

Benefits offered by this job

Medical coverage

401K plan

Training & Certification reimbursement

Job summary

Tata Consultancy Services in Long Beach, CA seeks a data science professional to drive generative AI projects. You will develop models with TensorFlow/PyTorch, build RAG pipelines, and apply NLP to real-world text tasks. Strong Python skills and data preprocessing are essential.

Responsibilities include fine-tuning LLMs, evaluating model performance, and integrating ML models into applications with attention to ethics and bias mitigation.

Qualifications

• Degree in computer science, data science or equivalent.
• Experience building generative AI models with TensorFlow or PyTorch.
• Proficiency in NLP tasks, data preprocessing and model fine-tuning.
• Familiarity with RAG pipelines and evaluation metrics.

Responsibilities

• Develop and implement generative AI models using TensorFlow or PyTorch.
• Build and optimize RAG pipelines for retrieval-augmented generation.
• Work on NLP tasks such as text classification and summarization.
• Perform data preprocessing and feature engineering using Python libraries.
• Fine-tune transformer-based models and LLMs for use cases.

Skills

Agile experience

ML & DL frameworks

Python programming

NLP & GANs/Transformers

RAG techniques

Transformer architectures

Bias mitigation

Autonomous decision-making

Data preprocessing & fine-tuning

Model evaluation metrics

Education

Bachelor's or Master's in CS/Data Science

Tools

TensorFlow

PyTorch

NumPy

Pandas

Scikit-learn

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.

Job Description

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

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

Base Salary Range

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