Machine Learning Engineer

Remote Machine Learning Engineer Senior About Clarika We are dedicated to software development, IT consulting, website development, and digital transformation. We offer highly qualified tech teams experienced in delivering quality software using Agile SCRUM techniques. At Clarika, we are experts creating software solutions through a diverse set of technologies and frameworks delivering as expected using agile SCRUM methodologies. About the position Responsibilities Work on computer vision systems end-to-end, including detection, segmentation, tracking, OCR, multimodal models, pose estimation, and related CV tasks. Take ideas from academic papers and bring them to real implementations, including training, fine-tuning, optimization, and productionization. Build and maintain models in PyTorch, including experimentation, model optimization, and deployment. Deploy models into production and maintain them using popular MLOps and data engineering technologies. Build APIs and backend services required to serve computer vision models in real environments. Apply research applied methodologies to reproduce papers, test hypotheses, and convert them into working production-grade models. Create AI Agents and integrate computer vision models into agent-based systems. Contribute to backend development as part of the overall product architecture. Requirements Strong experience in computer vision. Strong experience taking a model from a research paper to a real implementation. Strong experience in PyTorch. Experience deploying models in production and maintaining them using MLOps and data engineering technologies. Experience creating AI Agents. Experience in backend development. Experience creating and serving APIs for ML models. Experience working on applied research and converting it into production-grade systems. Clarika is officially certified as a Great Place to Work®. That means you'll join a team where collaboration, innovation, and growth aren't just words — they're what we live every day. Join our Team! Personal Information First Name

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