Job Description
Key Responsibilities
- Design, develop, and operationalize machine learning and generative AI solutions for production environments
- Select, fine-tune, and integrate machine learning and foundation models into scalable systems
- Manage the end-to-end machine learning lifecycle, including data preparation, experimentation, deployment, monitoring, and optimization
- Build robust evaluation frameworks to ensure model quality, accuracy, and performance
- Develop and implement solutions using NLP, Large Language Models (LLMs), Agentic AI, and computer vision technologies where applicable
- Build scalable data pipelines, feature engineering workflows, and model serving infrastructure
- Optimize performance, cost, and scalability across cloud and distributed compute environments
- Collaborate with engineering, product, and cross-functional teams to deliver AI-powered so...