Mlops Engineer • Senior

Who you are

You have a strong background in machine learning operations, with experience in designing and implementing scalable AI/ML infrastructure. Your expertise in cloud platforms, particularly Google Cloud, allows you to optimize machine learning workflows effectively. You thrive in collaborative environments, working closely with engineering teams to drive innovation and solve complex problems.

You are familiar with Salesforce and understand how to leverage its capabilities to enhance data-driven decision-making. Your analytical mindset enables you to derive insights from data, ensuring that machine learning models are not only effective but also responsible and reliable.

What you'll do

In this role, you will lead the design and development of our client's AI/ML infrastructure, ensuring that it meets the highest standards of efficiency and reliability. You will collaborate with cross-functional teams to integrate machine learning models into production environments, driving actionable insights for clients. Your responsibilities will include overseeing the deployment of machine learning models, monitoring their performance, and implementing best practices for MLOps.

You will also be tasked with identifying opportunities for improvement within existing workflows, utilizing your expertise to streamline processes and enhance the overall effectiveness of machine learning operations. Your role will involve mentoring junior engineers and fostering a culture of continuous learning and innovation within the team.

What we offer

At Egen, we are committed to creating a workplace where the best talent can thrive. We offer competitive compensation packages, opportunities for professional development, and a collaborative environment that encourages innovation. Join us in driving the future of AI and machine learning, and be part of a team that is dedicated to making a positive impact through data and technology.