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647

Customer Experience jobs in France

Senior Ai Engineer (Python / Node.Js)

Velozient

Cambé
On-site
BRL 424,000 - 638,000
11 days ago
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Sr. Product Manager - Technical, GIS

Amazon Jobs

São Paulo
On-site
BRL 200,000 - 250,000
11 days ago

Analista do Centro de Monitoramento de Clientes (CMC)

Digisystem

Teresina
On-site
BRL 80,000 - 120,000
15 days ago

Business Development Representative

Databricks Inc.

São Paulo
On-site
BRL 80,000 - 120,000
15 days ago

Fraud Prevention Data Specialist

Didi

São Paulo
On-site
BRL 150,000 - 200,000
15 days ago
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Página da Vaga | Atendente Receptivo - Gás Encanado

Necxt

São Paulo
On-site
BRL 20,000 - 80,000
13 days ago

Assistente de Dados

MarketData

São Paulo
On-site
BRL 20,000 - 80,000
15 days ago

Country Manager - (Remote, Brazil or Argentina)

Nordicrecruiters

Brasília
Remote
BRL 160,000 - 200,000
15 days ago
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Conversational Designer (Brazil) 1

Sitel

São Paulo
Hybrid
BRL 80,000 - 120,000
15 days ago

Lead Software Engineer

Vaga Para Lead Software Engineer

Ituiutaba
Remote
BRL 120,000 - 160,000
12 days ago

Analista de Sucesso do Cliente - Ongoing

MGITECH Carreiras

Mogi das Cruzes
Hybrid
BRL 20,000 - 80,000
15 days ago

Amazon Logistics Station Leader, Amazon Logistics

Amazon Logistica Do Brasil

Canoas
On-site
BRL 80,000 - 120,000
10 days ago

COORDENADOR(A) DE CALL CENTER | Campina Grande-PB

Digna Brasil

Campina Grande
On-site
BRL 80,000 - 120,000
13 days ago

Senior Sales Consultant

Bluenet Solutions

Olinda
Remote
BRL 80,000 - 120,000
10 days ago

Site Activation Specialist

IQVIA

São Paulo
Remote
BRL 212,000 - 319,000
13 days ago

Store Manager

Skechers

São Paulo
On-site
BRL 120,000 - 160,000
8 days ago

Engineering Lead - Itsm Operations

Corteva

Barueri
On-site
BRL 80,000 - 120,000
8 days ago

Marketing Analyst, Data & Analytics

Poatek

Porto Alegre
On-site
BRL 80,000 - 100,000
8 days ago

Sales Support Senior Manager

Didi

São Paulo
Hybrid
BRL 80,000 - 120,000
12 days ago

Senior Site Activation Coordinator

IQVIA

São Paulo
Remote
BRL 80,000 - 120,000
13 days ago

Sales Support Senior Manager

DiDi Global

São Paulo
On-site
BRL 80,000 - 120,000
15 days ago

Atendente Experiência Cliente | Home Office - Exclusiva Profissionais com Deficiência - Curitiba/PR

Diebold Nixdorf SL.

São Paulo
Remote
BRL 20,000 - 80,000
15 days ago

Atendente Experiência Cliente | Home Office - Exclusiva Profissionais com Deficiência - Fortaleza/CE

Diebold Nixdorf SL.

São Paulo
Remote
BRL 20,000 - 80,000
15 days ago

Atendente Experiência Cliente | Home Office - Exclusiva Profissionais com Deficiência - São Paulo/SP

Diebold Nixdorf SL.

São Paulo
Hybrid
BRL 20,000 - 80,000
15 days ago

Gerente de Hotel

MRV & CO

São Paulo
On-site
BRL 160,000 - 200,000
9 days ago

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Senior Ai Engineer (Python / Node.Js)
Velozient
Cambé
On-site
BRL 424,000 - 638,000
Full time
11 days ago

Job summary

A forward-thinking AI firm in Brazil is seeking a remote, full-time Senior AI Engineer with over 5 years of software and AI/ML engineering experience. The role involves designing innovative AI services, developing back-end integrations, and ensuring the reliability of AI systems. Ideal candidates should possess expertise in Python and experience with ML frameworks. The company offers a collaborative culture, generous PTO, and the opportunity to influence product design.

Benefits

15 days Paid Time Off (PTO)
Collaborative learning culture
Flexible work environment

Qualifications

  • 5+ years of applied ML / AI engineering experience, ideally with exposure to enterprise systems.
  • Strong proficiency in Python, and either Golang, Node.js, or Java.
  • Experience with ML / LLM frameworks.
  • Track record of deploying AI services in production.
  • Strong grounding in cloud-native architectures.

Responsibilities

  • Architect, fine-tune, and deploy AI agents for utility use cases.
  • Build APIs, microservices, and orchestration frameworks.
  • Design and manage the complete AI pipeline.
  • Address vulnerabilities unique to AI.
  • Collaborate with software engineers and data specialists.
  • Deliver breakthroughs in code and AI services quickly.

Skills

Python
Golang
Node.js
Java
Machine Learning / AI Engineering
Communication in English

Education

University degree or relevant industry experience

Tools

PyTorch
TensorFlow
LangChain
AWS
GCP
Azure
Job description

We are seeking a remote, full-time Senior AI Engineer with 5+ years of software and AI / ML engineering experience. Candidates must have a strong background in Python and either Golang, Node.js, or Java expertise, with a strong desire to adopt Golang as the primary back-end technology.

In this position, you will be at the heart of the client's product innovation, responsible for designing, implementing, and operationalizing AI-native services that transform the utility sector. This role combines applied AI / ML expertise with strong back-end engineering skills, ensuring the client's agentic systems are not only functional but scalable, secure, and production-ready.

As a key member of our engineering team, you will report directly to the CTO and operate within small, agile teams alongside software engineers, security experts, and product managers. You will own the full lifecycle of AI services from data ingestion and model training to real-time deployment and monitoring while continuously adapting to evolving requirements in a fast-moving, high-stakes industry.

Our client is building an AI-centric operating system for utilities. It harnesses AI at the enterprise level to better orchestrate customer delight, facilitate power optimization, improve the health of the grid, and unlock flexibility at scale. Funded by a strategic industry partner and one of the founders at Groupon, the client is poised to transform how utilities run and how customers experience energy.

Responsibilities
  • AI Systems Development : Architect, fine‑tune, and deploy AI agents purpose‑built for utility use cases, including predictive operations, customer engagement, and energy optimization
  • Back‑End Integration : Build APIs, microservices, and orchestration frameworks that seamlessly connect AI models with enterprise systems and grid‑level data flows
  • Pipeline Ownership : Design and manage the complete AI pipeline ingestion, embeddings, retrieval, evaluation, and continuous deployment, ensuring reliability and scalability
  • AI Risk Mitigation : Address vulnerabilities unique to AI, such as model drift, bias exploitation, adversarial robustness, and hallucination control with sensitivity to regulated environments
  • Cross‑Functional Collaboration : Partner with software engineers, data specialists, and security teams to integrate AI capabilities into the broader client OS, embedding AI by design into every product release
  • Speed of Delivery : Operate with urgency, delivering breakthroughs in code and AI services on cycles measured in weeks, not quarters.
Required Experience
  • Excellent English communication skills
  • 5+ years of applied ML / AI engineering experience, ideally with exposure to enterprise / mission‑critical systems.
  • Strong proficiency in Python and either Golang, Node.js, or Java (non‑Golang developers will learn and adopt Golang on the job)
  • Expertise with ML / LLM frameworks, such as PyTorch, TensorFlow, LangChain, or equivalent
  • Experience with vector databases, orchestration frameworks, and modern MLOps practices.
  • Track record of deploying AI services in production
  • Strong grounding in cloud‑native architectures (AWS, GCP, Azure)
  • Analytical, collaborative, and comfortable with ambiguity.
  • Ability to thrive in small, high‑velocity teams, balancing experimentation with production rigor
Desired Experience
  • University degree or relevant industry experience
  • Experience working on ERP systems or within the power utilities industry
Additional Information
  • Enjoy a fun, fast‑growing entrepreneurial company
  • Be part of a highly collaborative learning culture, share knowledge, be inclusive, learn, and grow together. Embrace teamwork!
  • Knowing your ideas are heard and matter, think big!
  • You get to own your job and be recognized for your contributions
  • Work with innovative and creative people
  • Making mistakes is human. Let's learn from them. Be transparent!
  • We recognize you as an individual, with no presumptions or judgment. Be the extraordinary you!
  • 15 days Paid Time Off (PTO), one floating day, three sick days, and designated national holidays
  • Start : ASAP
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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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