AWS Cloud Engineer III (AI/ML)

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Job Overview

The AWS Cloud Engineer III (AI/ML) at W3R Consulting will play a pivotal role in architecting, implementing, and maintaining cloud-based solutions that leverage AI and ML technologies. The successful candidate will work closely with cross-functional teams to deliver innovative solutions, enhance system performance, and ensure optimal cloud infrastructure management. This position requires a strong understanding of AWS services, advanced proficiency in machine learning concepts, and a passion for continuous improvement in cloud engineering practices.

Job Responsibilities

• Design and deploy scalable machine learning models on the AWS cloud platform.
• Collaborate with data scientists and analysts to integrate machine learning models into application workflows.
• Implement and manage AWS services such as S3, Lambda, EC2, and SageMaker for AI/ML applications.
• Monitor and optimize cloud infrastructure for performance and cost efficiency.
• Troubleshoot cloud-hosted applications and provide technical support for ML deployed solutions.
• Contribute to the development of best practices and documentation for AI/ML solutions.
• Stay updated on the latest AWS AI/ML services and industry trends to ensure competitive advantage.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field; Master's degree preferred.
• Minimum of 3-5 years of experience in cloud engineering, specifically on AWS.
• Strong proficiency in machine learning algorithms and libraries, such as TensorFlow, PyTorch, or Scikit-learn.
• Experience with programming languages such as Python, Java, or similar.
• Solid understanding of cloud architecture and infrastructure as code (IaC) tools, like Terraform or CloudFormation.
• AWS certification such as AWS Certified Solutions Architect or AWS Certified Machine Learning is highly desirable.
• Excellent problem-solving skills and the ability to work effectively in a team-oriented environment.

Technologies & Tools

The AWS Cloud Engineer III (AI/ML) will utilize a variety of technologies and tools on a daily basis. These include AWS platforms and services such as SageMaker, Lambda, EC2, and S3; programming languages such as Python and Java; machine learning frameworks like TensorFlow and PyTorch; and infrastructure management tools including Terraform and AWS CloudFormation. Familiarity with CI/CD tools and containerization technologies like Docker and Kubernetes will further enhance the deployment and scalability of AI/ML applications.

Ideal Candidates

Ideal candidates for the AWS Cloud Engineer III (AI/ML) position at W3R Consulting will possess a unique blend of technical expertise, innovative thinking, and a proactive approach to problem-solving. They should demonstrate strong analytical skills and the ability to work collaboratively within a multi-disciplinary team. A passion for continuous learning and adapting to emerging technologies, alongside strong communication skills, will also contribute to their success in this role. Candidates who thrive in dynamic environments and enjoy tackling complex challenges will find this position particularly rewarding.