Machine Learning
2 semanas atrás
OverviewJoin 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 remoteEmployment type: Part-timeWhat You'll DoDesign, 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 BringProven 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).Why You'll Love Working at BizmoniBe 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 ApplyingAre 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 youRecruitment ProcessInterview 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.#J-18808-Ljbffr
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Senior Machine Learning Engineer
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