AI Data Scientist/Engineer

Job Title : AI AND DATA SCIENTIST ENGINEER

Location : Surat

Job Type : Full-Time

Job Overview :

We are seeking an experienced AI and Data Scientist Engineer to design and implement data- driven AI solutions that optimize safety, operational efficiency, and compliance for industrial environments. This role involves applying advanced machine learning techniques, data modelling, and analytics to extract actionable insights and drive innovation.

Key Responsibilities :

• AI Development :

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

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

• Data Analysis and Modelling :

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

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

• Integration and Deployment :

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

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

• Visualization and Reporting :

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

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

• Research and Innovation :

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

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

• Collaboration :

i. Work closely with software developers, AR/VR teams, and business stakeholders to align AI solutions with company goals.

Qualifications and Skills :

• Experience : 3-7 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.