Data Scientist

Job Description

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.

• 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.

• Bachelor's or Master's Degree in Computer Science, Computer Engineering, Engineering, Mathematics, Statistics, AI, Data Science, or a related discipline.
• Artificial Intelligence & Machine Learning skills:
  Machine Learning (ML), Deep Learning, Generative AI, Large Language Models (LLMs), AI Agents, Retrieval-Augmented Generation (RAG), Prompt Engineering.
• AI Frameworks & Programming:
  OpenAI & Claude, Tensor Flow / 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.
• Seniority Level: Mid‑Senior level in IT Services and IT Consulting, Software Development, Information Services Employment.
• Type:
  Contract;
  
  Job Functions:
  
  Information Technology;
  Consulting;
  Other
  
  Skills:
  
  Python (Programming).