Job Description Design and implement ML models for time-series, sensor, and image data
Apply predictive and prescriptive analytics to multimodal datasets
Develop platform-agnostic AI solutions for cloud-based deployment
Lead full-stack model deployment across Python, ML frameworks, and databases
Collaborate with product and software teams to integrate AI into live systems
Build and manage scalable data pipelines and databases
Lead model performance optimization and real-time inference
Research and prototype novel AI-driven digital indicators Requirements Degree in Computer Science, Engineering, or Physics
3+ years’ experience managing a small team of data scientists
5+ years' experience in applied data science or ML engineering
Strong proficiency in Python and ML libraries (e.g., scikit-learn, TensorFlow, PyTorch)
Hands-on experience with cloud services (e.g., AWS, Azure) and backend integration
Familiarity with time-series models (e.g., LSTM, regres...