* 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
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