Data Scientist - Part-Time

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 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 Industry IT Services and IT ConsultingSoftware DevelopmentInformation Services Employment 

·      Type Contract Job Functions Information TechnologyConsultingOther Skills Python (Programming)