Machine Learning
4 semanas atrás
Overview
Join to apply for the Machine Learning (ML) Ops Engineer role at Bizmoni - The Next Gen AI Super APP .
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.
Location and EmploymentLocation: Fully remote
Employment type: Part-time
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.
 
- 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.
 
- Are you open to 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 Data Science Department Manager & TA Partner.
 - Offer (based on final positive feedback).
 
Please submit your English CV. Only shortlisted candidates will be invited to interview. Thank you.
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