Cloud Developer - MLOps

Role & responsibilities

• Design, develop, and maintain robust AWS cloud infrastructure to support large-scale applications.
• Architect and implement scalable solutions using AWS services such as EC2, S3, Lambda, RDS, IAM, VPC, CloudFormation, and more.
• MLOps:
• Implement and manage MLOps pipelines to streamline the deployment and monitoring of machine learning models.
• Automate model training, validation, deployment, and monitoring processes to ensure efficiency and reliability.
• Large Language Models (LLM):
• Utilize expertise in LLM to enhance our AI-driven solutions, including fine-tuning and optimizing pre-trained models.
• DevOps Capabilities:
• Develop and maintain CI/CD pipelines using tools such as Jenkins, GitLab CI, CircleCI, or AWS CodePipeline.
• Implement infrastructure as code (IaC) practices using Terraform, CloudFormation, or AWS CDK.
• Ensure the highest levels of security, scalability, and performance in all cloud deployments.
• Monitor and manage the health, performance, and security of cloud environments using AWS CloudWatch, ELK stack (Elasticsearch, Logstash, Kibana), or Prometheus & Grafana.
• Mentor and guide junior engineers, fostering a culture of continuous learning and improvement.