Location: Fully remote

Employment type: Part-time

About Bizmoni Corp.

Bizmoni is the worlds first AI Super App designed to help anyone earn, learn, and grow in the AI era. We are building a integral, 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.

About the Role:

We are seeking a skilled and driven MLOps 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. Your work will directly impact thousands of users worldwide by enabling real-time, AI-powered financial insights and business solutions.

If you are passionate about deploying cutting-edge ML technologies and want to be part of a mission-driven fintech startup, wed love to hear from you!

What You'll Do:

- 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.
- Provide support and maintenance to ensure the reliability of ML applications.

What You'll Bring:

- Proven experience as an MLOps Engineer or similar role (fintech or AI startup experience is a plus).
- 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).
- Familiarity with Git and CI/CD tools.
- Strong understanding of ML algorithms and their real-world applications.
- 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).

Why Youll Love Working at Bizmoni:

- Be part of a mission-driven company building the future of AI-powered FinTech.
- Fully remote role with a global, diverse team.
- Equity-based compensation with the potential for future full-time opportunities.
- Culture of innovation, collaboration, and ownership.

Before Applying, Ask Yourself:

- Are you open to ONLY equity-based compensation?
- Are you able to dedicate 16 hours weekly to our project?

If your answers are YES, then we are happy to meet you!

Recruitment Process:

1. Interview with Data Science Department Manager & TA Partner.
2. Offer (based on final positive feedback).

Please submit your your English CV .
Only shortlisted candidates will be invited to interview. Thank you.

📌 Senior Machine Learning Ops Engineer (Ciudad de México)
🏢 Bizmoni
📍 Ciudad de México