Artificial Intelligence Engineer

Cor; Teletrabalho; BRL 30.000 - 45.000; Tempo integral

Resumo da oferta

Uma empresa de tecnologia no Brasil procura um Engenheiro de IA experiente para projetar, desenvolver e implantar soluções de inteligência artificial escaláveis. O candidato ideal terá forte experiência em engenharia de backend com Go (Golang) e habilidades práticas com Python e ferramentas de machine learning. Este papel envolve colaborar com cientistas de dados para integrar modelos em serviços escaláveis e otimizar seu desempenho em ambientes de produção. Oferecemos uma oportunidade única para trabalhar em projetos inovadores no campo da inteligência artificial.

Qualificações

• Experiência prática com Go (Golang) e Python
• Familiaridade com plataformas de nuvem (AWS, GCP ou Azure)
• Experiência em engenharia de IA ou ML
• Sólido entendimento de algoritmos de machine learning

Responsabilidades

• Desenhar, desenvolver e manter soluções de IA/ML para casos de uso de negócios
• Construir e manter serviços backend de alto desempenho usando Go (Golang)
• Implantar e otimizar modelos de machine learning em ambientes de produção

Conhecimentos

Go (Golang)

Python

Machine Learning & AI

API & Microservices Architecture

Cloud Computing

Problem Solving & Debugging

Formação académica

Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field

Ferramentas

AWS

GCP

Azure

TensorFlow

PyTorch

Scikit-learn

Docker

Kubernetes

Descrição da oferta de emprego

Descrição da vaga

Role Overview

We are seeking an experienced AI Engineer to design, develop, and deploy scalable artificial intelligence and machine learning solutions. The role requires strong backend engineering skills with Go (Golang) and hands‑on experience building production‑grade AI systems.

Key Responsibilities

• Design, develop, and maintain AI / ML solutions for business use cases
• Build and maintain high-performance backend services using Go (Golang)
• Deploy, integrate, and optimize machine learning models in production environments
• Collaborate with data scientists and engineers to translate models into scalable services
• Develop APIs and microservices for AI‑powered applications
• Monitor model performance and system reliability in production
• Ensure code quality through testing, reviews, and documentation
• Optimize system performance, scalability, and reliability

Mandatory Qualifications

• Strong hands‑on experience with Go (Golang) – mandatory
• Strong experience with Python – mandatory
• Familiarity with cloud platforms (such as AWS, GCP, or Azure and Digital Ocean)
• Proven experience as an AI Engineer, Machine Learning Engineer, or similar role
• Solid understanding of machine learning algorithms and AI fundamentals
• Experience working with Python‑based ML frameworks (TensorFlow, PyTorch, Scikit‑learn)
• Experience deploying ML models to production systems
• Strong knowledge of REST APIs, microservices, and distributed systems
• Experience with cloud platforms (AWS, GCP, or Azure)

Preferred Qualifications

• Experience with MLOps tools and workflows
• Familiarity with Docker, Kubernetes, and CI / CD pipelines
• Experience with NLP, Computer Vision, or Generative AI models
• Knowledge of data engineering concepts and pipelines
• Experience with SQL and NoSQL databases

Required Skills

• Go (Golang)
• Paython
• Machine Learning & AI
• Python
• API & Microservices Architecture
• Cloud Computing
• Problem Solving & Debugging

Education

Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field (or equivalent practical experience)