Fully remote Employment type: We are building a general, fully remote team to shape the future of financial technology. Our mission is to make powerful AI-driven financial and business tools accessible to everyone from individuals starting side hustles to enterprises scaling globally. We are seeking a skilled and driven Senior ML Ops Engineer to design, automate, and optimize our machine learning infrastructure.

In this role, you will play a crucial part in bridging the gap between data science and operations by streamlining our AI/ML workflows from experimentation to production. You will collaborate closely with data scientists, data engineers, and developers to ensure our models are secure, scalable, reliable, and cost-efficient. Design, build, and maintain end-to-end machine learning infrastructure ensuring scalability, high availability, and performance.

Automate ML pipelines with Docker, Kubernetes, and CI/CD frameworks. Collaborate with data scientists and engineers to streamline model deployment. Monitor and optimize models in production with observability tools (e.g., Prometheus, Grafana, ELK).





Manage and optimize cloud infrastructure (AWS, Azure, or GCP) for efficiency and cost. Ensure compliance and security protocols for sensitive financial data. Strong programming skills in Python (preferred); familiarity with Java or Scala is a plus.

Experience with ML frameworks and pipeline orchestration (MLflow, Airflow, Kubeflow, or SageMaker). Hands-on experience with cloud services (AWS, Azure, or GCP). Solid knowledge of containerization and orchestration (Docker, Kubernetes).

Excellent communication and collaboration skills in a remote, cross-timezone team environment. Bachelors or Masters degree in Computer Science, Data Science, or related field (or equivalent experience). Fully remote role with a global, diverse team.

Equity-based compensation with the potential for future full-time opportunities. Are you able to dedicate 16 hours weekly to our project? Interview with Data Science Department Manager & TA Partner.

Please submit your your English CV .

📌 Deep Learning/ Machine Learning Remote Engineer (Ciudad de México)
🏢 Bizmoni
📍 Ciudad de México