The Opportunity

Join our dynamic team as a key player in revolutionizing the way industry-leading clients deploy and manage machine learning models. You will tackle the exciting challenge of designing and implementing a cutting-edge ML Ops infrastructure, ensuring scalability, security, and automation across diverse environments. Your work will directly impact the reliability and performance of deployed models and agents through robust observability and monitoring systems. Collaborate closely with data scientists, product, and platform teams to seamlessly integrate ML Ops best practices into our development workflows, all while maintaining strict adherence to security standards and regulatory requirements. This is your chance to drive continuous improvement initiatives that enhance the efficiency, scalability, and resilience of our ML Ops systems.

What You'll Bring

1. At least 6+ years of deep ML Ops experience, particularly with AWS services like SageMaker.
2. Exceptional professional English communication skills, both written and verbal.
3. Strong client interaction capabilities, demonstrating professionalism and self-drive.

What Sets You Apart

1. Additional technical skills in security and compliance within ML Ops processes.
2. Previous consulting experience, showcasing your ability to deliver impactful solutions to clients.

Why You'll Love Working With Us

Experience the thrill of collaborating with top-tier U.S. clients in a fully remote, flexible work environment. You'll have the opportunity to engage in a variety of projects, each offering unique challenges and growth opportunities. Embrace the future of work with us, where your expertise will be valued and your career will flourish.