Cognizant Technology Solutions - Atlanta, GA
posted about 2 months ago
As an ML Ops Engineer at Cognizant, you will play a pivotal role in the deployment and management of machine learning operations, particularly focusing on Google Cloud Platform (GCP) and Vertex AI. This position requires a hands-on approach, where you will be expected to lead the integration of ML operations into AI/ML deployments. Your expertise will be crucial in building robust ML operations that enhance the efficiency and effectiveness of AI solutions for our clients. You will work closely with cross-functional teams to ensure that machine learning models are not only developed but also deployed and maintained effectively in a production environment. In this role, you will be responsible for implementing methods for model experiment tracking, utilizing tools such as ML Flow in conjunction with Vertex AI. Your experience with GCP will be essential as you deploy ML models and ensure they operate seamlessly within the cloud infrastructure. You will also be expected to leverage your programming skills in Python and Unix Shell scripting to automate processes and enhance the deployment pipeline. Additionally, your ability to develop APIs and write SQL scripts will be critical in facilitating data interactions and model integrations. Cognizant values innovation and collaboration, and as part of our team, you will contribute to a culture that encourages creative problem-solving and continuous improvement. You will have the opportunity to work in a dynamic environment where your contributions directly impact the success of our clients and the growth of our organization. This position is based in Atlanta, GA, but we are open to remote work arrangements for the right candidate. We are looking for someone who is not only technically proficient but also passionate about leveraging AI and machine learning to drive business outcomes. If you are ready to take on this challenge and make a significant impact in the field of ML operations, we encourage you to apply.