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