More jobs:
Gen AI Developer
Job in
Seattle, King County, Washington, 98127, USA
Listed on 2026-06-06
Listing for:
Tata Consultancy Services Limited
Full Time
position Listed on 2026-06-06
Job specializations:
-
IT/Tech
AI Engineer, Machine Learning/ ML Engineer
Job Description & How to Apply Below
Responsibilities
- Execute projects in Agile Framework.
- Develop and implement generative AI models using Tensor Flow, PyTorch, and related frameworks.
- Build and optimize Retrieval‑Augmented Generation (RAG) pipelines.
- Work on NLP tasks such as text classification, summarization, and conversational AI.
- Perform data preprocessing, cleaning, and feature engineering using Python libraries (Num Py, Pandas).
- Fine‑tune and optimize transformer‑based models and large language models for specific use cases.
- Evaluate model performance using RAG and NLP evaluation metrics.
- Integrate machine learning models into applications and apply autonomous decision‑making logic where required.
- Bachelor’s or master’s degree in computer science, data science or equivalent.
- Proven experience in machine learning and deep learning frameworks such as Tensor Flow and PyTorch.
- Strong programming skills in Python and familiarity with Num Py, Pandas, and Scikit‑learn.
- Experience with generative models (GANs, VAEs, Transformers) and natural language processing.
- Proficiency in RAG (Retrieval‑Augmented Generation) techniques and evaluation metrics for RAG systems.
- Strong understanding of transformer architectures and training techniques.
- Awareness of ethical considerations and bias‑mitigation strategies.
- Understanding of autonomous decision‑making algorithms.
- Strong analytical and problem‑solving skills.
- Good to have manufacturing domain understanding.
- Excellent communication.
- Team collaboration.
- Documentation and knowledge sharing.
- 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 Benefits & 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.
Base Salary Range: $120,000 to $150,000 per annum.
LocationSeattle, WA
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