Posted:1 week ago|
Platform:
Work from Office
Full Time
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. Required Skills: AWS services such as EC2, S3, Lambda, RDS, IAM, VPC, CloudFormation Implement and manage MLOps pipelines Large Language Models (LLM) CI/CD pipelines Terraform
Safran Engineering Services
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