Data & AI Engineer

Model Development & Deployment

Build and fine-tune machine learning and deep learning models for NLP, computer vision, and recommendation systems

Develop APIs and microservices for model inference and integration

Implement scalable training and inference pipelines using GCP

AI Engineering & Integration

Design and manage intelligent agents using Agent space

Apply RAG, embeddings, and vector search techniques

Integrate LLMs such as OpenAI, Anthropic, and Hugging Face models into applications

Implement monitoring, evaluation, and continuous learning pipelines

Collaboration & Development

Work with data scientists, engineers, and business teams to build AI solutions

Translate business use cases into scalable AI applications

Contribute to reusable frameworks, libraries, and best practices