
1001 - 5000 employees
Founded 1986
đ Cybersecurity
âïž SaaS
Cybersecurity âą SaaS âą 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.
đ„ 0 minutes ago
đŁïžđ§đ·đ”đč Portuguese Required
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1001 - 5000 employees
Founded 1986
đ Cybersecurity
âïž SaaS
Cybersecurity âą SaaS âą 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.
âą Analyze, develop, maintain, and evolve systems and Artificial Intelligence solutions using Python and SQL and NoSQL databases âą Interact with users to gather requirements âą Support solution design âą Ensure alignment between business requirements and implemented technological solutions
âą Bachelor's degree in an IT-related field âą Experience in systems analysis and development with Python, including design patterns, asynchronous programming, and best practices âą Strong experience developing REST APIs and microservices using FastAPI, Flask, and Django âą Advanced knowledge of artificial intelligence âą Knowledge of machine learning models, including Scikit-learn, XGBoost, and LightGBM âą Knowledge of generative models and LLMs, including Hugging Face, OpenAI, LangChain, and Transformers âą Familiarity with fine-tuning techniques, embeddings, vectorization, and RAG âą Experience with data manipulation and processing using Pandas and NumPy âą Experience with SQL and NoSQL databases âą Experience with containers and automation using Docker, GitHub Actions, and CI/CD âą Good communication skills, problem-solving ability, teamwork, commitment, organization, and proactivity
âą Health insurance âą Dental plan âą Life insurance âą Transportation voucher âą Meal allowance âą TotalPass âą Employment under CLT | Remote (home office) âą Equipment provided if needed
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