AI AND DATA Scientist Engineer

4 days ago

Pune, Maharashtra, India Coreehs Full time ₹ 20,00,000 - ₹ 25,00,000 per year

  1. AI Development:

  2. Design, develop, and deploy AI algorithms and machine learning models for safety systems, predictive analytics, and process optimization.

  3. Implement computer vision and NLP solutions for AR/VR applications and industrial safety scenarios.

  4. Data Analysis and Modelling:

  5. Collect, preprocess, and analyse large datasets from industrial systems and safety processes.

  6. Build predictive models, recommendation systems, and clustering algorithms to solve business challenges.

  7. Integration and Deployment:

  8. Integrate AI/ML models into existing software systems, AR/VR platforms, and training simulators.

  9. Develop APIs and tools to make AI capabilities accessible across platforms.

  10. Visualization and Reporting:

  11. Create intuitive dashboards and visualizations to present data insights to stakeholders.

  12. Generate detailed reports explaining analytical findings and model performance.

  13. Research and Innovation:

  14. Explore and experiment with new AI technologies and frameworks to improve safety and operational efficiency.

  15. Conduct feasibility studies for integrating emerging AI techniques into industrial solutions.

  16. Collaboration:

  17. 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.

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