Senior Machine Learning (ML) Ops Engineer

Bizmoni is an AI-powered fintech company building tools to help individuals and enterprises earn, learn, and grow in the AI era. The Senior MLOps Engineer will design, automate, and optimize machine learning infrastructure, streamlining workflows from experimentation to production. The role focuses on secure, scalable, reliable, and cost-efficient model deployment and operations.

Responsibilities:

• 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

Requirements:

• Proven experience as an MLOps Engineer or similar role (fintech or AI startup experience is a plus)
• Strong programming skills in Python
• 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)
• Fully remote
• Are you able to dedicate 16 hours weekly to our project?
• fintech or AI startup experience is a plus
• Strong programming skills in Python (preferred)