Senior MLOps Engineer at Massive Rocket

Massive Rocket is a rapidly expanding agency that bridges the gap between digital marketing teams and technical engineering units. Over the past five years, we have built a reputation for delivering human-centric experiences at scale by utilizing the latest advancements in cloud, data, and AI technologies. As we push toward our goal of reaching 100 million dollars in revenue, we are looking for entrepreneurial thinkers who want to contribute to the success of our team, our partners, and our clients. If you are passionate about innovation and thrive in a fast-paced environment, you will find a home here among our global team.

About the Role

We are searching for a Senior MLOps Engineer to join us on a full-time basis. In this role, you will be responsible for designing and optimizing the infrastructure that powers our machine learning solutions. You will work alongside our data scientists and product teams to ensure that our AI models are not only reliable and scalable but also efficiently deployed and monitored in production environments.

Key Responsibilities

• Automate and streamline the deployment of machine learning models by building robust CI/CD pipelines and optimizing inference performance.
• Manage scalable cloud infrastructure using Docker and Kubernetes while utilizing Terraform to automate provisioning through infrastructure as code.
• Develop and maintain efficient data pipelines for model training and feature engineering, using tools like Apache Airflow to ensure consistent monitoring and workflow orchestration.

Requirements

To be successful in this position, you should have at least five years of experience in MLOps, DevOps, or Data Engineering. We are looking for someone with a strong technical foundation and the ability to communicate effectively in English within a client-facing environment.

• Deep expertise in Python and SQL, along with hands-on experience using TensorFlow or PyTorch.
• Proven ability to manage the machine learning lifecycle, including model versioning, monitoring, and pipeline orchestration.
• Experience working with major cloud platforms and a solid understanding of data engineering concepts, including large-scale processing frameworks.
• A creative, problem-solving mindset with the ability to mentor others and advocate for high-quality engineering standards.

Location

This position is 100% remote and can be performed from anywhere in the world.

Compensation and Benefits

We believe in fostering a supportive and flexible work culture that allows our team members to grow both personally and professionally. Our benefits include:

• A permanent remote work arrangement.
• A flexible vacation policy to help you maintain a healthy work-life balance.
• Flexible working hours to accommodate different time zones and personal needs.
• Opportunities for career advancement and professional development within a fast-moving, international organization.