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