Python Engineer (AI / Machine Learning Focus)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Python Engineer (AI / Machine Learning Focus): Building AI-driven applications and data pipelines with an accent on integrating LLMs, automation, and model optimization. Focus on designing scalable AI features, processing structured/unstructured data, and delivering intelligent solutions for real-world use cases.
Location: Remote or On-site in São Paulo / Greater Fortaleza / Rio de Janeiro / Florianópolis (Brazil), Mexico City (Mexico), Buenos Aires Province (Argentina), Bogota (Colombia)
Company
is one of Latin America's rapidly expanding software development companies working with premier clients from the United States and Europe, certified as a Great Place to Work.
What you will do
- Design and develop systems using Python for AI/ML-driven applications
- Build and integrate AI-powered features including LLMs, automation, and data pipelines
- Work with structured and unstructured data to generate insights and functionality
- Collaborate with product and engineering teams to deliver scalable solutions
- Optimize models, workflows, and system performance
- Stay up to date with evolving AI tools and frameworks
Requirements
- Proficient in English for remote collaboration
- 5+ years of experience working with Python in production environments
- Hands-on experience with AI/ML frameworks or tools
- Experience working with data processing, pipelines, or model integration
- Experience integrating or working with LLMs (OpenAI, Anthropic, or similar)
- Strong problem-solving skills and ability to work independently
- Experience using AI tools in development workflows
Nice to have
- Experience with TensorFlow, PyTorch, Scikit-learn, or similar frameworks
- Experience with RAG pipelines, agents, or automation workflows
- Experience with cloud environments (AWS, GCP, Azure)
- Experience working with APIs and backend systems
- Experience in startup or fast-paced environments
Culture & Benefits
- Home office and remote work flexibility
- Competitive compensation based on experience
- Career plans for extensive growth
- International projects
- English Program (Technical and Conversational)
- Fitness with Total Pass
- Games and competitions
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