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MLOps Engineer

eDynamics Technologies

RemoteBraga, Braga, PortugalentryFull-time
Posted
today
Source
LinkedIn (remote, Europe)
Field
Engineering

Skills

Machine LearningPythonDevOpsAzureCI/CDGitAI

Description

๐Ÿ” We're looking for someone to walk with us! At eDynamics, we're building a smart insole that works as a non-intrusive, 24/7 tracker of human mobility and physical health. We want to grow our team with an MLOps Engineer who is passionate about taking machine learning models from the lab into real-world use. You'll build and maintain the infrastructure that turns data from our wearable foot sensor into reliable insights on gait, physical activity, and fatigue. ๐Ÿ‘‡ Responsibilities Design, implement, and maintain end-to-end ML pipelines, covering training, validation, deployment, and retraining; Deploy and manage machine learning models in production; Build and maintain data pipelines for time-series sensor data; Set up experiment tracking, model versioning and a model registry (e.g., MLflow); Implement CI/CD for ML, and automate testing and model release workflows; Put monitoring, logging, and observability practices in place, including model performance and data drift; Contribute to technical documentation and good engineering practices across the team. ๐Ÿ› ๏ธ Skills & Experience Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, AI or a related field; A solid understanding of the ML lifecycle: training, validation, deployment, monitoring, and retraining; Hands-on experience deploying, monitoring, and managing ML models in production; +1 year of experience in MLOps, DevOps, Data Engineering, software engineering or a related field; Experience with cloud platforms (ex Azure), Python, and scripting; Knowledge of MLflow or similar experiment tracking and model lifecycle tools; Good command of Git and version control practices; Software engineering best practices, automation, and maintainable code. ๐ŸŒŸ What We Appreciate A fast learner with strong problem-solving and analytical skills A proactive attitude and ownership of your work A collaborative mindset and enjoyment of a cross-functional team Comfort in a dynamic environment, with the ability to work independently when needed ๐Ÿ’™ Why become part of the eDynamics family? A passion for sport and well-being: you'll help build technology that improves how people move. True startup spirit: real teamwork, a close-knit team, and your ideas make a difference. Contact with many areas: you'll work alongside engineers in data science, hardware, firmware, and product. Direct access to clients and real cases: you'll see your work used by athletes, clubs, and companies. Growing together: you'll have real opportunities to build a relevant career as eDynamics grows.

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