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mokSa.ai - MLOps Cloud Engineer - DevOps

mokSa AI

mokSa AI

Software Engineering, Data Science
Hyderabad, Telangana, India
Posted on Sunday, June 16, 2024
About MokSa.ai

Based in Hyderabad, mokSa.ai is a trailblazer in AI-driven surveillance audit technology. Our platform is tailored to combat shoplifting and employee fraud, offering insights for strategic decisions. We excel in AI-powered customer tracking and employee management, and are known for our resource optimization and Design, deploy, and manage cloud-based infrastructure for machine learning workloads, ensuring scalability, reliability, and performance.

  • Collaborate with data scientists and machine learning engineers to understand model requirements and operationalize machine learning pipelines.
  • Implement CI/CD pipelines for automating the training, testing, and deployment of machine learning models.
  • Develop and maintain monitoring and alerting systems to track the performance and health of deployed machine learning models.
  • Optimize resource utilization and cost-effectiveness of cloud resources used for machine learning tasks.
  • Implement security best practices to protect sensitive data and machine learning models in cloud environments.
  • Work closely with software development teams to integrate machine learning models into production applications.
  • Troubleshoot and resolve issues related to infrastructure, deployment, and performance of machine learning systems.
  • Stay updated with the latest advancements in cloud computing, DevOps tools, and machine learning technologies.
  • Document processes, procedures, and configurations related to machine learning infrastructure and deployment Bachelors degree in Computer Science or related field.
  • 2+ Experience with cloud platforms (AWS) and DevOps practices.
  • Proficiency in scripting languages (Python, Shell scripting).
  • Familiarity with containerization (Docker, Kubernetes) and machine learning frameworks.
  • Strong problem-solving skills and ability to work in a fast-paced environment.

Preferred Qualifications

  • Certification in AWS and Kubernetes are Preferred
  • Experience with infrastructure automation tools (Terraform, Ansible).
  • Knowledge of machine learning deployment tools (MLflow, Kubeflow).
  • Familiarity with cybersecurity principles for cloud-based systems.