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1,191

Machine Learning jobs in United States

Conversational Designer (Brazil) 1

Sitel Group

São Paulo
On-site
BRL 80,000 - 120,000
30+ days ago
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Senior Data Scientist | Generative AI

Gympass

Brazil
Remote
BRL 160,000 - 200,000
30+ days ago

Senior Software Engineer, AI Model Serving - Taipei, Taiwan

Speechify

Brazil
On-site
BRL 433,000 - 651,000
30+ days ago

Spanish Specialist (Professor de Espanhol)

Red House International School

Recife
On-site
BRL 20,000 - 80,000
30 days ago

Página da Vaga | Cientista de Dados Sênior IA Generativa

Stefanini Group

Brazil
Remote
BRL 80,000 - 120,000
30 days ago
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Data Lead Engineer - Snowflake

Ampstek

Vitória
On-site
BRL 200,000 - 300,000
30 days ago

Data Lead Engineer – Snowflake

Ampstek

Canoas
On-site
BRL 120,000 - 160,000
30 days ago

Data Lead Engineer – Snowflake

Ampstek

Recife
On-site
BRL 647,000 - 810,000
30 days ago
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Data Lead Engineer - Snowflake

Ampstek

Contagem
On-site
BRL 120,000 - 160,000
30 days ago

Professor(a) de Português Fundamental 2 e Ensino Médio RecifePE

Inspired Schools

Recife
On-site
BRL 80,000 - 120,000
30 days ago

Job Page | Analista de Dados Senior (Performance)

PRIO

Rio de Janeiro
On-site
BRL 80,000 - 120,000
30+ days ago

System Administrator

Metal Toad

São Paulo
Remote
BRL 80,000 - 120,000
30+ days ago

Expert DevOps Engineer - Site Reliability Engineer Team Lead

SAP SE

São Leopoldo
Hybrid
BRL 120,000 - 160,000
30+ days ago

Market Intelligence & Analytics Coordinator (Rgm Solutions)

NielsenIQ

Cotia
On-site
BRL 90,000 - 120,000
30+ days ago

4395 - Associate Developer

Hangar Worldwide

Mato Grosso do Sul
On-site
BRL 30,000 - 50,000
30+ days ago

Professor de Tecnologia (Banco de Talentos - Graduação)

XP Educação

Belo Horizonte
Remote
BRL 80,000 - 120,000
30+ days ago

Especialista de Pricing (Ciência de Dados)

PagSeguro

São Paulo
Hybrid
BRL 120,000 - 160,000
30+ days ago

Specialist Data Engineer - Indaiatuba/SP

John Deere India Pvt. Ltd.

Indaiatuba
On-site
BRL 80,000 - 120,000
30+ days ago

Senior Backend Engineer - Contract

Roofr

São Paulo
Remote
BRL 120,000 - 160,000
30+ days ago

Solution Support Engineer

FICO

São Paulo
On-site
BRL 90,000 - 120,000
30+ days ago

Product Designer

Sardine

São Paulo
Remote
BRL 265,000 - 370,000
30+ days ago

Data Science Senior Analyst

Dell

Eldorado do Sul
On-site
BRL 120,000 - 160,000
30+ days ago

Staff Product Manager | Explore&Search

Gympass

Brazil
Remote
BRL 20,000 - 30,000
30+ days ago

Líder de Inteligência Artificial - Martech

Michael Page International do Brasil Recrutamento Especializado Ltda

Brazil
On-site
BRL 80,000 - 120,000
30+ days ago

LATAM Business Development Representative (BDR)

FICO

São Paulo
On-site
BRL 80,000 - 120,000
30+ days ago
Conversational Designer (Brazil) 1
Sitel Group
São Paulo
On-site
BRL 80,000 - 120,000
Full time
30+ days ago

Job summary

A leading customer experience firm is seeking a CAI Engineer in São Paulo, Brazil. The role involves developing and deploying Conversational AI solutions using LLMs and integrating systems. Candidates should have over 5 years of experience in AI, especially with voicebots, and a strong background in machine learning. The position offers opportunities to work on cutting-edge technology while collaborating with talented professionals in a dynamic environment.

Qualifications

  • 5+ years of experience in Conversational AI.
  • Experience with model evaluation, tuning, and deployment.
  • Understanding of AI safety and bias mitigation.

Responsibilities

  • Implement system integrations for seamless automation.
  • Engineer prompts and structure knowledge bases.
  • Configure and maintain STT/TTS systems.

Skills

Experience with LLM voicebots
Machine learning frameworks
Data preprocessing and feature engineering
Conversational AI knowledge
STT/TTS system experience

Tools

Cognigy
APIs
Job description
About Foundever

Foundever™ is a global leader in the customer experience (CX) industry. With 170,000 associates across the globe, we’re the team behind the best experiences for +750 of the world’s leading and digital‑first brands. Our innovative CX solutions, technology and expertise are designed to support operational needs for our clients and deliver a seamless experience to customers in the moments that matter.

Job Summary

The CAI Engineer (Conversational AI Engineer) is responsible for developing and deploying Conversational AI solutions (chatbots and voicebots), using LLMs, Agentic AI, and NLU models. This role manages technical implementations and integrations across environments, ensuring compliance with standards and best practices. It combines expertise in prompt engineering, knowledge base structuring, and system integration to enable end‑to‑end automation and continuous improvement. The CAI Engineer also ensures safe and reliable model behavior, performs fine‑tuning, proactive monitoring, and performance optimization, and oversees STT/TTS configuration and maintenance to guarantee high‑quality voice and seamless telephony integration.

Roles and Responsibilities
  • Implement system integrations for seamless automation across platforms
  • Engineer prompts and structure knowledge bases to ensure accurate and context‑aware responses
  • Ensure safe and reliable AI model by implementing safeguards and governance measures
  • Configure and maintain STT/TTS systems, ensuring high‑quality voice performance and seamless telephony integration
  • Document architectures, configurations, and deployment processes to maintain transparency and reproducibility
  • Collaborate with cross‑functional teams and work with developers, data analysts, product teams, and business stakeholders to align AI solutions with organizational goals
  • Apply Agentic AI knowledge to design frameworks and provide implementation‑focused recommendations
  • Create best practices for hybrid bots with NLU and LLM
Preferred Qualifications and Experience
  • 5+ years of experience. Experience with LLM voicebots is important
  • Experience with machine learning and deep learning frameworks
  • Knowledge of data preprocessing, feature engineering, and data pipelines
  • Experience with AI models for chatbots or voicebots
  • Experience with model evaluation, tuning, and deployment
  • Knowledge of conversational AI platforms for chatbot and voicebot development (e.g., Cognigy)
  • Experience with speech technologies: STT (speech‑to‑text) and TTS (text‑to‑speech) systems
  • Model deployment and integration skills, including APIs and system integrations
  • Ability to monitor, evaluate, and optimize AI models for performance, scalability, and reliability
  • Understanding of AI safety, bias mitigation, and ethical practices in conversational AI
  • Ability to document architectures, configurations, and deployment procedures clearly
  • Collaboration skills to work with product, engineering, and UX teams
  • Fluent in written and spoken English and French
Nice to have
  • Proficiency in German, French or any other EU language
  • A proactive attitude, with a passion for learning and keeping up with the latest industry trends
  • A collaborative team player who can also work independently with minimal supervision
  • Experience in chatbot and voicebot project using Cognigy
Why You'll Love This Role

Be at the forefront of CX transformation, working with leading BOT/AI technologies, specially Genesys delivery.
Work with global clients across the U.S. and EMEA, delivering cutting‑edge solutions in a fast‑paced, dynamic environment.
Collaborate with a talented team of experts in AI, automation, performance, and agent tools to deliver exceptional results.
Drive business success by managing multiple projects and clients simultaneously, with opportunities to showcase your leadership and problem‑solving skills.
Grow professionally by working on complex, high‑visibility projects while honing your technical, project management, and client relationship skills.

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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