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Python jobs in Brazil

Senior Software Engineer, Core Experiences - Fayetteville, USA

Speechify

Brazil
Remote
BRL 160,000 - 200,000
26 days ago
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Senior Software Engineer

Stellar AI

Teresina
Remote
BRL 160,000 - 200,000
26 days ago

Analista De Dados

Bruno Vanderlei Advogados Associados

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

Principal Ai Engineer - Ai In Healthcare

Stealth Healthcare Ai Startup

Parnamirim
On-site
BRL 160,000 - 200,000
26 days ago

Analista De Dados Sênior

ALLOS

Linhares
On-site
BRL 80,000 - 120,000
26 days ago
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Data Lead Engineer – Snowflake

Ampstek

Teresina
Remote
BRL 150,000 - 200,000
26 days ago

Analista de Dados Sênior

Allos

Natal
On-site
BRL 80,000 - 120,000
26 days ago

Engenheiro Devops Pleno / Sênior

Ion Sistemas

Várzea Grande
On-site
BRL 120,000 - 160,000
26 days ago
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Fraud Prevention Strategy Analyst São Paulo, Brazil

Sumup Inc.

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

Senior DevOps Engineer

Sankhya Gestão De Negócios

Timon
On-site
BRL 120,000 - 160,000
26 days ago

Senior Data Engineer

Stefanini Group

Carapicuíba
On-site
BRL 80,000 - 120,000
26 days ago

Devops Engineer

Flowmentum, Inc.

Carapicuíba
On-site
BRL 120,000 - 160,000
26 days ago

Engineering Manager

AssureSoft

São Paulo
Hybrid
BRL 120,000 - 160,000
26 days ago

Engenheiro Devops Pleno / Sênior

ION Sistemas

Recife
On-site
BRL 120,000 - 160,000
26 days ago

Cloud DevOps Engineer (AWS)

Ernst & Young Advisory Services Sdn Bhd

Pompeia
Hybrid
BRL 120,000 - 160,000
26 days ago

ARQUITETO DE SOLUÇÕES SR - 9585961

Bosch Group

Campinas
On-site
BRL 80,000 - 120,000
26 days ago

Senior Software Engineer, Core Experiences - Concord, USA

Speechify

Brazil
Remote
BRL 160,000 - 200,000
26 days ago

Analista de Dados Sênior

Allos

Contagem
On-site
BRL 80,000 - 120,000
26 days ago

Automotive HIL Engineer - Automotive Sector (Relocation Poland)

Prometeo Talent

Porto Alegre
On-site
BRL 427,000 - 535,000
26 days ago

Senior DevOps Engineer

Sankhya Gestão De Negócios

Cambé
On-site
BRL 120,000 - 160,000
26 days ago

Analista de Dados Sênior

Allos

Manaus
On-site
BRL 80,000 - 120,000
26 days ago

Data Lead Engineer - Snowflake

Ampstek

Londrina
On-site
BRL 374,000 - 535,000
26 days ago

Blockchain Engineering Manager (Remote - LATAM)

Pointsville

Macapá
Remote
BRL 641,000 - 803,000
26 days ago

Engenheiro de Dados Sr.

PagSeguro

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

Consultor Actuario Sao Paulo

Management Solutions

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

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Senior Software Engineer, Core Experiences - Fayetteville, USA
Speechify
Remote
BRL 160,000 - 200,000
Full time
26 days ago

Job summary

A leading text-to-speech technology company is seeking a Senior Software Engineer to work remotely. You will collaborate with researchers and engineers to deploy ML workloads and enhance model performance. Ideal candidates will have strong Python experience and familiarity with cloud environments, particularly GCP. The role offers competitive compensation and the opportunity to make a significant impact in AI and audio technology, contributing to products that change lives, especially for those with learning differences.

Benefits

Competitive compensation
Dynamic work environment
Autonomy and creativity in work

Qualifications

  • Experience shipping Python-based services.
  • Responsible for operating critical production services.
  • Experience with public cloud environments, GCP preferred.
  • Experience with infrastructure as code, Docker, and containerized deployments.
  • Experience deploying high-availability applications on Kubernetes is preferred.
  • Experience deploying ML models to production is preferred.

Responsibilities

  • Work alongside machine learning researchers and product managers.
  • Deploy ML inference workloads for AI Voices serving pipeline.
  • Introduce techniques to improve model performance and efficiency.
  • Build tools for visibility into bottlenecks and address high-priority issues.

Skills

Python-based services
Critical production service operation
Public cloud environments (GCP preferred)
Infrastructure as code
Docker and containerized deployments
High-availability applications
Deploying ML models to production

Tools

Kubernetes
Job description
Senior Software Engineer, Core Experiences - Fayetteville, USA

Remote

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day.

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users.

We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount.

Our interview process involves several technical interviews and we aim to complete them within 1 week.

What You’ll Do
  • Work alongside machine learning researchers, engineers, and product managers to bring our AI Voices to their customers for a diverse range of use cases
  • Deploy and operate the core ML inference workloads for our AI Voices serving pipeline
  • Introduce new techniques, tools, and architecture that improve the performance, latency, throughput, and efficiency of our deployed models
  • Build tools to give us visibility into our bottlenecks and sources of instability and then design and implement solutions to address the highest priority issues
An Ideal Candidate Should Have
  • Experience shipping Python-based services
  • Experience being responsible for the successful operation of a critical production serviceli>
  • Experience with public cloud environments, GCP preferred
  • Experience with infrastructure such as code, Docker, and containerized deployments
  • Preferred: Experience deploying high-availability applications on Kubernetes
  • Preferred: Experience deploying ML models to production
What We Offer
  • A dynamic environment where your contributions shape the company and its products
  • A team that values innovation, intuition, and drive
  • Autonomy, fostering focus and creativity
  • The opportunity to have a significant impact in a revolutionary industry
  • Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture
  • The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more
  • An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain
Speechify Commitment to Diversity & Inclusion

Speechify is committed to a diverse and inclusive workplace.

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or any other legally protected status.

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? Refer them!

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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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