Destaque

GenAI Architect & Data Scientist

Everest Global Solutionsvia Dice

RemotoRemotoEspecialistaCLTHoje

Salário Estimado

R$ 24.668,00 - R$ 41.113,00

Tecnologias

Python Go AWS Azure API Machine Learning IA Data Science

0de 100

Regular

Score da Vaga

Descrição da Vaga

GenAI Architect & Data Scientist Hours/Week: 40 Work Location: USA – Remote (Work from Home) Position Overview We are seeking a GenAI Architect & Data Scientist to design and build intelligent, scalable AI systems with a strong focus on Natural Language Processing (NLP) and Generative AI–driven conversational experiences.

The ideal candidate will combine deep data science expertise with architectural vision to deliver intent-driven, context-aware, and production-ready AI solutions across cloud platforms.

This role involves:

•Understanding user intent

•Designing conversational dialogue flows • Applying generative AI techniques

•Operationalizing models using MLOps best practices • Automating complex language interactions across multiple channels Experience Required: 12+ years of hands-on and architectural experience in large-scale enterprise environments.

Key Responsibilities GenAI & NLP Solution Design • Architect Generative AI solutions leveraging Large Language Models (LLMs)

•Build and optimize NLP pipelines for:

•Intent detection

•Entity extraction • Sentiment analysis

•Summarization • Conversational understanding

•Apply generative AI techniques to automate complex language-based interactions • Design scalable architectures supporting multi-channel conversational platforms (web, chat, voice, APIs) Intent Design & Conversational AI

•Define clear intent hierarchies based on user behavior and business requirements • Design accurate dialogue flows and fallback strategies

•Implement contextual conversation handling • Improve accuracy using:

•Prompt engineering • Fine-tuning

•Retrieval-Augmented Generation (RAG) • Ensure conversational systems are natural, explainable, and aligned with business objectives Data Science & Model Development

•Develop, train, evaluate, and optimize ML and deep learning models for NLP use cases • Work with structured and unstructured datasets

•Perform:

•Feature engineering

•Model experimentation • Validation and performance optimization MLOps & Production Readiness

•Implement CI/CD pipelines for ML (MLOps) • Enable model versioning, deployment, monitoring, and retraining

•Ensure production-grade readiness with:

•Observability

•Performance tracking • Governance controls

•Partner with DevOps and platform teams for enterprise integration Cloud AI & Architecture • Design and deploy AI solutions on cloud platforms:

•AWS • Azure

•Google Cloud Platform • Leverage managed AI/ML services for training and inference

•Ensure:

•Scalability

•Security • Cost optimization

•Compliance Collaboration & Leadership • Collaborate with product managers, engineers, UX designers, and business stakeholders

•Provide technical leadership for GenAI initiatives • Mentor data scientists and engineers on NLP, GenAI, and MLOps best practices Required Skills Core Technical Skills

•Strong expertise in Natural Language Processing (NLP) • Hands-on experience with Generative AI & Large Language Models (LLMs)

•Proven experience in Intent Design & Conversational AI • Strong background in Data Science & Machine Learning

•Experience implementing MLOps pipelines • Proficiency in Python for AI/ML development Cloud & Platform Expertise

•Hands-on experience with AWS, Azure, or Google Cloud Platform AI platforms • Experience deploying AI models at scale in cloud environments Conversational AI Capabilities Experience building intelligent conversational systems including:

•Intent classification • Dialogue flow design

•Context management • Prompt engineering

•RAG-based architectures Preferred / Good to Have • Experience with vector databases and semantic search

•Knowledge of AI ethics and bias mitigation practices

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