AI AND DATA Scientist Engineer

1. **AI Development:** - Design, develop, and deploy AI algorithms and machine learning models for safety systems, predictive analytics, and process optimization. - Implement computer vision and NLP solutions for AR/VR applications and industrial safety scenarios. 1. **Data Analysis and Modelling:** - Collect, preprocess, and analyse large datasets from industrial systems and safety processes. - Build predictive models, recommendation systems, and clustering algorithms to solve business challenges. 1. **Integration and Deployment:** - Integrate AI/ML models into existing software systems, AR/VR platforms, and training simulators. - Develop APIs and tools to make AI capabilities accessible across platforms. 1. **Visualization and Reporting:** - Create intuitive dashboards and visualizations to present data insights to stakeholders. - Generate detailed reports explaining analytical findings and model performance. 1. **Research and Innovation:** - Explore and experiment with new AI technologies and frameworks to improve safety and operational efficiency. - Conduct feasibility studies for integrating emerging AI techniques into industrial solutions. 1. **Collaboration:** - Work closely with software developers, AR/VR teams, and business stakeholders to align AI solutions with company goals. **Role & responsibilities** **Preferred candidate profile** - Experience: 5-7 years in AI, data science, or related fields with proven experience deploying machine learning models in production. - Programming Skills: Proficiency in Python, R, or Java with experience using libraries like TensorFlow, PyTorch, Scikit-learn, or Keras. - Data Tools: Strong knowledge of SQL/NoSQL databases, Hadoop, Spark, or other big data platforms. - AI/ML Expertise: Hands-on experience with supervised, unsupervised, and deep learning techniques, as well as reinforcement learning. - Analytics and Visualization: Expertise in tools like Tableau, Power BI, or Matplotlib for data visualization.