Computer Vision & Machine Learning Engineer Location: BR, LatAm Remote Position type: 5 months contract with possibility of extension. Job Summary Data Meaning is a front-runner in Business Intelligence and Data Analytics consulting, renowned for our high-quality consulting services throughout the US and beyond. Our expertise lies in delivering tailored solutions in Business Intelligence, Data Warehousing, and Project Management. We have a diverse, global team of consultants, all working remotely, embodying a collaborative, inclusive, and innovation-driven work culture. As part of our growth and upcoming initiatives, we are proactively searching for Senior Data Engineers to support future projects and platform modernization efforts across our client portfolio. We are seeking a Computer Vision & Machine Learning Engineer to support an AI-driven video analytics initiative focused on operational efficiency, safety monitoring, and real-time detection systems within a retail environment. This role requires hands-on experience with computer vision, object detection models, and ML deployment, along with the ability to contribute quickly within a fast-paced, high-visibility project. Key Responsibilities: Develop, test, fine-tune, and optimize computer vision and object detection models using video and image datasets Support the deployment of ML models in production or near-production environments Analyze and process large-scale visual datasets, including annotation workflows and video sample preparation Build new models and adapt pre-trained models to support operational and safety-focused use cases Evaluate technical feasibility and prioritize AI/ML use cases according to business timelines and delivery goals Collaborate with cross-functional stakeholders including Infrastructure, Operations, AI Engineering, and business teams to translate operational requirements into technical solutions Contribute to the development of real-time detection and alerting capabilities using camera-based systems Support rapid prototyping and MVP delivery initiatives within fast-paced environments Required Skills & Qualifications:Advanced English communication skills, with the ability to actively use the language in day-to-day work and technical discussions. Strong hands-on experience with Computer Vision and Object Detection frameworks such as YOLO, TensorFlow, PyTorch, or similar technologies Experience training, fine-tuning, validating, and deploying Machine Learning models Background working with image and video data pipelines Familiarity with annotation tools, labeling workflows, and visual dataset management Experience working with cloud-based Machine Learning infrastructure, preferably within Azure environments Strong understanding of ML engineering best practices and scalable deployment approaches Ability to work independently while collaborating effectively within cross-functional teams

Nice to Have

Experience with real-time video analytics solutions Familiarity with retail, operational monitoring, safety, or loss prevention environments Experience contributing to MVPs, pilot programs, or executive demonstration initiatives Ability to balance experimentation, technical feasibility, and delivery timelines in fast-moving projects