Data Scientist

🌟 About the Role::

We are looking for a Data & AI Scientist to design, develop, and deploy cloud-native AI and data solutions that are scalable, reusable, and production-ready.

You will work with Product Owners, Engineering teams, and industry partners to build innovative AI-driven applications using the latest technologies, including Generative AI, Large Language Models (LLMs), AI Agents, and Machine Learning, helping to solve real-world industry challenges.

🎯 Key Responsibilities::

✅ Collaborate with Product Owners, Engineering teams, and stakeholders throughout the product lifecycle—from concept, design, prototyping, testing, deployment, and operationalization.

✅ Research, evaluate, and recommend emerging AI technologies and industry trends for production use.

✅ Design and develop cloud-native AI applications using Microservices Architecture.

✅ Build, deploy, and optimize Machine Learning, Deep Learning, and Generative AI solutions.

✅ Develop AI-powered applications using LLMs, AI Agents, Retrieval-Augmented Generation (RAG), Prompt Engineering, and Vector Databases.

✅ Implement and validate AI algorithms while ensuring scalability, security, fairness, transparency, and operational efficiency.

✅ Participate in Agile software development, code reviews, documentation, and best practices.

🎓 Qualifications::

✔ Bachelor's or Master's Degree in Computer Science, Computer Engineering, Engineering, Mathematics, Statistics, AI, Data Science, or a related discipline.

💻 Required Technical Skills::

🤖 Artificial Intelligence & Machine Learning

• Machine Learning (ML)
• Deep Learning
• Generative AI
• Large Language Models (LLMs)
• AI Agents
• Retrieval-Augmented Generation (RAG)
• Prompt Engineering

⚙️ AI Frameworks & Programming

• OpenAI & Claude
• TensorFlow / PyTorch (Torch)
• Python (Mandatory)
• C++ (Preferred)

☁️ Data & Cloud Technologies

• Cloud-native AI Applications
• Microservices Architecture
• Data Manipulation & Visualization
• Machine Learning Libraries
• Vector & Graph Databases

🎨 3D & Computational Geometry

• 3D Geometry
• Vector Mathematics
• Coordinate Systems
• Mesh Manipulation & Boolean Operations
• Geometric Transformations
• Experience with Blender, Revit, OpenGL, CGAL, or Three.js

⭐ Preferred Experience::

✔ Developing and deploying AI solutions in production environments

✔ Hands-on experience with OpenAI, Claude, AI Agents, RAG, and Prompt Engineering

✔ Experience building scalable AI applications using cloud technologies

✔ Knowledge of AI software development lifecycle and Agile methodologies