
1001 - 5000 employees
Founded 1986
🔒 Cybersecurity
☁️ SaaS
Cybersecurity • SaaS • BPO
Montreal Oficial is a technology company providing innovative solutions in secure identification and authentication, operational continuity, intelligent management, and automation. They specialize in advanced biometric technologies, data center and cloud solutions, and business process outsourcing. Montreal Oficial aims to support public and private institutions with efficient, secure, and connected services, driving digital transformation and addressing complex challenges faced by their clients.
🔥 0 minutes ago
🗣️🇧🇷🇵🇹 Portuguese Required
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1001 - 5000 employees
Founded 1986
🔒 Cybersecurity
☁️ SaaS
Cybersecurity • SaaS • BPO
Montreal Oficial is a technology company providing innovative solutions in secure identification and authentication, operational continuity, intelligent management, and automation. They specialize in advanced biometric technologies, data center and cloud solutions, and business process outsourcing. Montreal Oficial aims to support public and private institutions with efficient, secure, and connected services, driving digital transformation and addressing complex challenges faced by their clients.
• Analyze, develop, maintain, and evolve Artificial Intelligence systems and solutions using Python and SQL and NoSQL databases • Interact with users to gather requirements • Support the definition of solutions • Ensure alignment between business requirements and developed technical solutions
• Bachelor's degree in an IT-related field • Experience in system analysis and Python development, including design patterns, asynchronous programming, and best practices • Solid experience developing REST APIs and microservices with FastAPI, Flask, and Django • Advanced knowledge of AI • Experience with machine learning models: Scikit-learn, XGBoost, and LightGBM • Knowledge of generative models and LLMs: Hugging Face, OpenAI, LangChain, and Transformers • Familiarity with fine-tuning techniques, embeddings, vectorization, and RAG • Experience with data manipulation and processing using Pandas and NumPy • Experience with SQL and NoSQL databases • Experience with containers and automation: Docker, GitHub Actions, and CI/CD • Strong communication, problem-solving, teamwork, commitment, organization, and proactivity
• Health plan • Dental plan • Life insurance • Commuting allowance (vale-transporte) • Meal allowance (vale-refeição) • TotalPass • CLT employment | Remote (home office) • Equipment provided if required
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