Cloud Developer – MLOps
3 weeks ago
Cloud Developer – MLOps
Location: Bangalore
Experience: 5-10 Years
Summary
We are seeking an experienced Cloud Developer specializing in MLOps to design, develop, and maintain AWS-based cloud infrastructures that support large-scale applications. This role involves implementing scalable solutions, managing MLOps pipelines for deploying and monitoring machine learning models, and leveraging expertise in Large Language Models (LLM). The ideal candidate will also have strong DevOps capabilities, a focus on security and performance, and the ability to mentor junior engineers while driving technical innovation.
Key Skills
AWS (EC2, S3, Lambda, RDS, IAM, VPC, CloudFormation), MLOps, Large Language Models (LLM), CI/CD Pipelines, Jenkins, GitLab CI, CircleCI, AWS CodePipeline, Infrastructure as Code (Terraform, CloudFormation, AWS CDK), AWS CloudWatch, ELK Stack, Prometheus, Grafana, Machine Learning, Automation, DevOps, Security, Mentorship
Roles and Responsibilities
Cloud Infrastructure:
Design, develop, and maintain robust AWS cloud infrastructures to support large-scale applications.
Architect scalable solutions using AWS services like EC2, S3, Lambda, RDS, IAM, VPC, and CloudFormation.
MLOps Implementation:
Develop and manage pipelines for training, validating, deploying, and monitoring machine learning models.
Automate MLOps processes to enhance efficiency and reliability.
Large Language Models (LLM):
Optimize and fine-tune pre-trained LLMs to enhance AI-driven solutions.
DevOps Practices:
Build and maintain CI/CD pipelines using Jenkins, GitLab CI, CircleCI, or AWS CodePipeline.
Implement Infrastructure as Code (IaC) using tools like Terraform, CloudFormation, or AWS CDK.
Monitor cloud environments' health, performance, and security using AWS CloudWatch, ELK stack, or Prometheus & Grafana.
Collaboration & Mentorship:
Collaborate with data scientists, engineers, and stakeholders to innovate and optimize solutions.
Mentor junior engineers to foster a culture of learning and technical excellence.
Technical Expertise & Innovation:
Stay updated on the latest advancements in cloud technologies, LLM, MLOps, and DevOps to maintain cutting-edge solutions.
Requirements5-10 years of experience in cloud development, with a strong focus on AWS services.
Hands-on experience in MLOps, including automating machine learning workflows.
Expertise in implementing and optimizing Large Language Models (LLMs).
Proven experience in developing CI/CD pipelines and implementing IaC practices.
Proficiency in monitoring tools like AWS CloudWatch, ELK stack, or Prometheus & Grafana.
Strong problem-solving skills with a focus on security, scalability, and performance.
Excellent collaboration and mentoring skills.
A proactive approach to staying updated with emerging technologies.
This role is ideal for a highly skilled Cloud Developer eager to drive innovation and efficiency in MLOps and AI solutions. If you thrive in dynamic environments and have a passion for leveraging cloud technologies, we encourage you to apply
BenefitsYou will be working with company which based out of Bangalore, showcases the expertise in aerospace and ground transport industries, offering expertise and project management in domains like electrical systems, aerostructures, mechanical, software, systems engineering. It is part of the 3000+ strong engineering services, which is a specialized division of Electrical & Power.
Requirements
AWS (EC2, S3, Lambda, RDS, IAM, VPC, CloudFormation), MLOps, Large Language Models (LLM), CI/CD Pipelines, Jenkins, GitLab CI, CircleCI, AWS CodePipeline, Infrastructure as Code (Terraform, CloudFormation, AWS CDK), AWS CloudWatch, ELK Stack, Prometheus, Grafana, Machine Learning, Automation, DevOps, Security, Mentorship
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