Note: This is a equity-based compensation until our next funding round **

Fully remote
Part-time
Bizmoni is the worlds first AI Super App designed to help anyone earn, learn, and grow in the AI era. We are building a global, 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 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!

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.
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.
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).
Strong understanding of ML algorithms and their real-world applications.
Excellent communication and collaboration skills in a remote, cross-timezone team environment.
Bachelor's or Masters degree in Computer Science, Data Science, or related field (or equivalent experience).
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.
Are you open to ONLY equity-based compensation?
Are you able to dedicate 16 hours weekly to our project?
Interview with Data Science Department Manager.
# Please submit your English CV.

Senior Machine Learning Engineer - AI

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