AI ML Engineer

We’re building something meaningful — not just another dashboard or data toy. This role is for someone who enjoys working with real human behavior data, where every model you ship has the power to improve how people move, live, and take care of themselves.

Requirements

• 5+ years of hands-on experience as an ML Engineer or Applied Scientist.
• Strong foundation in machine learning, deep learning, and time-series analysis.
• Experience working with wearables, IoT data, or sensor-based datasets.
• Fluency in Python, PyTorch or TensorFlow, and good software engineering habits.
• Experience building and shipping production ML systems using modern MLOps practices.
• Comfort with Node.js, APIs, and backend integration workflows.
• Understanding of data privacy, cloud ML infrastructure (AWS, GCP, or Azure), and edge inference.
• A solid grasp of feature engineering, statistical reasoning, and evaluating what “good” looks like in a model.