Machine Learning Engineer

• Develop, train, and optimize machine learning models using PyTorch and other ML frameworks.
• Deploy and maintain ML models in production environments, ensuring scalability, performance, and reliability.
• Utilize Databricks for data processing, model training, model deployment, and pipeline optimization.
• Deploy Retrieval-Augmented Generation (RAG) pipelines to production for improved AI-driven applications.
• Collaborate with data engineers to design and implement ETL workflows and data pipelines.
• Perform rigorous testing, validation, and monitoring of deployed models.
• Optimize model inference for low latency and high throughput applications.
• Work with stakeholders to translate business problems into ML solutions.
• Stay up to date with the latest advancements in machine learning, deep learning, and AI deployment strategies.

Machine Learning Engineer

Lead AI Engineer

Lead Full-Stack GenAI Platform Software Engineer

Staff Software Engineer – AI/ML Infra

AI Engineer

Senior Software Engineer – AI/ML Infra