Senior Machine Learning (ML) Ops Engineer

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

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 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.
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.

- Bachelor's or Masters degree in Computer Science, Data Science, or related field (or equivalent experience).

W hy 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:

- Interview with TA Partner.

- Interview with Data Science Department Manager.

- Offer (based on final positive feedback).

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

Originally posted on Himalayas