Data Scientist

Role Title:

Function / Department:

Location:

About the Role:

This position involves leading multiple use cases, working on exploratory technologies, and experimenting with cutting-edge AI tools. The role also entails working on vision-based use cases using quadrupeds (robotic systems) for industrial automation and process optimization.

Why Join Us?

• Be part of AI projects recognized by the World Economic Forum's Global Lighthouse Network.
• Lead AI-driven decision-making & automation in a high-impact, mission-critical pharma environment.
• Experiment with AI innovations & next-gen robotics (quadrupeds, computer vision).
• Collaborate with top industry experts in a future-focused, technology-driven environment.

Key Responsibilities:

• Lead AI-Driven Use Cases: Develop and deploy machine learning models for predictive maintenance, yield optimization, and quality control.
• Computer Vision & Robotics Integration: Build and optimize vision-based analytics for Quadrupeds to automate inspections and detect anomalies.
• Cutting-Edge Generative AI & NLP: Implement Generative AI models (e.g., GANs, Transformers) for manufacturing insights and process automation.
• Big Data Processing & AI Pipelines: Work with IIoT data streams, industrial sensors, and unstructured datasets for scalable AI deployment.
• Interactive Analytics & Decision Intelligence: Develop high-impact dashboards and visualizations for leadership decision-making.
• Research & Experimentation: Explore and implement new AI tools and emerging technologies for digital transformation.

Qualifications:

Education:

• Bachelor's degree in Engineering or a Master's in Statistics, Computer Science, IT, Analytics, or related fields.

Technical Skills:

• Programming: Proficiency in Python and libraries such as NumPy, pandas, scikit-learn.
• Machine Learning & Deep Learning: Experience with TensorFlow, PyTorch, and classical ML models.
• Computer Vision: Familiarity with OpenCV, object detection models, and industrial vision analytics.
• Generative AI: Exposure to GANs, NLP models, and Transformers.
• Big Data & IIoT: Experience with data pipelines, ETL processes, and IIoT data streams.
• Visualization: Expertise in Tableau, Power BI, or Plotly for interactive dashboards.
• Good to have: MLOps, Exposure to Azure or similar cloud platforms

Skills and Competencies:

• Strategic Thinker: Ability to drive AI-powered decision-making in a fast-paced industrial setting.
• Tech Explorer: Passion for working on emerging AI technologies, robotics, and experimental AI models.
• Collaboration & Leadership: Comfortable working with cross-functional teams and leading projects.
• Problem-Solving Mindset: Strong analytical skills to handle complex industrial datasets and drive impact.