Title - AI EngineerType - Contract Location - Remote
- Key ResponsibilitiesAI 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 QualificationsEducation: 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 SkillsProactive, self-driven, and independentStrong problem-solving abilitiesOwnership mentality with ability to take full responsibility for featuresCollaborative and communicative