Cloud Developer - MLOps

Location: Bengaluru

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, Cloud Formation, 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.
Dev Ops Capabilities:
Develop and maintain CI/CD pipelines using tools such as Jenkins, Git Lab CI, Circle

CI, or AWS Code Pipeline.
Implement infrastructure as code (IaC) practices using Terraform, Cloud Formation, 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 Cloud Watch, ELK stack (Elasticsearch, Logstash, Kibana), or Prometheus Grafana.
Mentor and guide junior engineers, fostering a culture of continuous learning and improvement.