AI Summary
Design, build, and maintain end-to-end machine learning infrastructure. Automate ML pipelines with Docker, Kubernetes, and CI/CD frameworks. Collaborate with data scientists and engineers to streamline model deployment.
Key Highlights
Design and maintain machine learning infrastructure
Automate ML pipelines with Docker, Kubernetes, and CI/CD frameworks
Collaborate with data scientists and engineers
Key Responsibilities
Design, build, and maintain end-to-end machine learning infrastructure
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
Manage and optimize cloud infrastructure for efficiency and cost
Ensure compliance and security protocols for sensitive financial data
Provide support and maintenance to ensure the reliability of ML applications
Technical Skills Required
Benefits & Perks
Equity-based compensation
Fully remote role
Global, diverse team
Job Description
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 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. 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.
Interested in remote work opportunities in Machine Learning & AI? Discover Machine Learning & AI Remote Jobs featuring exclusive positions from top companies that offer flexible work arrangements.
- 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).
- 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.
Browse our curated collection of remote jobs across all categories and industries, featuring positions from top companies worldwide.
- Are you open to ONLY equity-based compensation?
- Are you able to dedicate 16 hours weekly to our project?
Recruitment Process:
- Interview with Data Science Department Manager & TA Partner.
- Offer (based on final positive feedback).
Only shortlisted candidates will be invited to interview. Thank you.
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