Senior AI – Machine Learning Engineer

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Global TI

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2001

🤝 B2B

🤖 Artificial Intelligence

🏢 Enterprise

B2B • Artificial Intelligence • Enterprise

Global TI is an experienced Brazilian IT services and solutions provider with over 24 years serving large enterprises nationwide. The company delivers infrastructure planning and migration (on-premises, hybrid and cloud), process automation (including RPA), data management and analytics, AI-powered solutions, custom application development, innovation and IT governance services, and specialist staff allocation. Global TI positions itself as a strategic B2B partner focused on technology-driven transformation, compliance-aware migrations (e. g. , CNPJ alphanumeric readiness), and tailored solutions to boost operational efficiency and business outcomes.

📋 Description

• Want to apply AI to real projects with direct business impact, instead of just POCs that never reach production? • We are looking for a Senior Artificial Intelligence / Machine Learning Engineer to lead cutting-edge solutions in a modern, data-driven, 100% remote environment. • You will be part of a small, autonomous team with direct contact with product and the freedom to propose architectures and technologies. • Design, train, and put ML/Deep Learning models into production. • Build data and MLOps pipelines (training, versioning, monitoring). • Work side by side with Product and Engineering to understand problems and metrics. • Rapidly prototype and evolve solutions into scalable production systems. • Optimize model performance, cost, and quality in the cloud. • Drive AI engineering best practices within the team (code review, standards, testing). • Explore and apply LLMs, NLP, and generative models where appropriate.

🎯 Requirements

• Solid experience as a Senior AI / ML Engineer. • Proficiency in Python and main ML/Deep Learning libraries (e.g., scikit-learn, PyTorch or TensorFlow). • Experience deploying models to production (APIs, monitoring, logging, retraining). • Experience with cloud platforms (AWS, GCP, or Azure) and managed data/ML services. • Knowledge of MLOps (CI/CD, pipelines, data/model versioning). • Strong foundation in statistics, machine learning, and data structures. • Clear communication skills with both technical teams and business stakeholders. • Plus: Experience with LLMs, NLP, and generative models (OpenAI, Hugging Face, etc.). • Previous experience in startups or high-scale digital products. • Experience with data lake/warehouse architectures and streaming. • Contributions to the community (papers, talks, open source, blogs).

🏖️ Benefits

• Work 100% remotely, with flexible hours and a focus on deliverables rather than time tracking. • Real technical autonomy, participation in architecture decisions, and direct access to leadership. • We invest in continuous development (courses, conferences, certifications) and promote a collaborative, transparent, low-bureaucracy environment. • Competitive compensation on a contractor (PJ) basis, with potential variable pay tied to results and room to grow with the product.