Title - AI Engineer Type - Contract Location - Remote • Key Responsibilities * AI Model Development & Optimization: Design, fine-tune, and deploy ML and LLM-based models for NLP, generative AI, and automation features. * AI Infrastructure & Deployment: Build scalable AI pipelines leveraging Azure ML, Kubernetes, and distributed computing. * Integration & Orchestration: Work with LangChain, LlamaIndex, MS Graph API, and Copilot Studio for AI workflow integration. * Real-Time AI Processing: Develop efficient microservice-based architectures for real-time inferencing. * Performance Optimization: Monitor and improve model performance for accuracy, speed, and cost efficiency. * Cross-Team Collaboration: Work closely with AI Strategists, engineers, and designers to ensure usability and alignment with business goals.. Required Qualifications * Education: Bachelor’s or Master’s in Computer Science, AI, Machine Learning, or a related field. * Experience: 5+ years in AI/ML engineering with a track record of building and deploying AI models. * Technical Skills: * Expertise in AI/ML development and full lifecycle feature ownership. * Strong proficiency in PyTorch, TensorFlow, Hugging Face Transformers, and OpenAI APIs. * Hands-on experience with LLMs, NLP, and multimodal AI. * Familiarity with tools like Azure ML, Kubernetes, LangChain, and Milvus. Soft Skills * Proactive, self-driven, and independent * Strong problem-solving abilities * Ownership mentality with ability to take full responsibility for features * Collaborative and communicative