Job Description
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. 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. Required Qualification · 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 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 Ve
