Senior Machine Learning (ML) Ops Engineer

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.

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

Why You'll 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

• 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).