Gen AI

Job Title:Gen AI

Location

Job Summary

As a Machine Learning Engineer, you will be a key member of the engineering team responsible for the advanced technical support, development, and deployment of machine learning models, with a special focus on Generative AI. You will be a critical contributor to the design and implementation of end-to-end software lifecycles for AI and machine learning products, ensuring high-quality and scalable solutions. This role requires a deep understanding of both machine learning principles and software engineering best practices, with a proven track record of bringing complex models from research to production, particularly within the Microsoft Azure ecosystem.Responsibilities

• Lead the design, development, and deployment of production-level machine learning models, with a focus on generative AI models such as Large Language Models (LLMs), Generative Adversarial Networks (GANs), and Variational Autoencoders (VAEs).
• Provide advanced technical support for existing AI models, including bug fixes, addressing complex issues, and facilitating model expansion for new business cases.
• Act as a liaison between data scientists, cloud engineers, data engineers, and the business team to diagnose and resolve issues related to model performance and deployment.
• Lead the continuous improvement of support processes and workflows for ML applications.
• Develop, monitor, and maintain end-to-end machine learning pipelines (MLOps) including data preparation, feature engineering, model training, and deployment.
• Utilize Azure AI Foundry to build, test, and deploy cutting-edge AI-driven solutions and generative AI applications.
• Build model performance benchmarking, evaluation, and monitoring capabilities.
• Assess model performance to understand bugs, inefficiencies, and their root cause.
• Document and communicate best practices and troubleshooting procedures to support teams and stakeholders.
• Coordinate and mentor the Machine Learning Engineering team, promoting best practices and code quality.
• Stay current with the latest advancements in AI and machine learning technologies to provide informed support and recommendations.