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.