AI Cloud Engineer

3 weeks ago


Hyderabad Chennai Kolkata, India Teamware Solutions Full time

Job Description Key Responsibilities: - Design, implement, and manage AI/ML models and workflows on cloud platforms such as AWS, Azure, or Google Cloud. - Develop and maintain scalable data pipelines to ingest, process, and analyze large datasets for AI applications. - Collaborate with data scientists, ML engineers, and software developers to deploy AI models into production environments. - Automate infrastructure provisioning and deployment using Infrastructure as Code (IaC) tools like Terraform, CloudFormation, or Azure Resource Manager. - Monitor AI system performance, optimize resource usage, and ensure high availability and security. - Implement best practices for cloud security, data governance, and compliance in AI projects. - Troubleshoot issues related to cloud infrastructure, AI workloads, and model deployment. - Stay updated with the latest trends and technologies in AI, ML, and cloud computing. - Provide documentation and training to stakeholders on AI cloud solutions and usage. Qualifications and Requirements: - Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field. - 3+ years of experience in cloud engineering with hands-on AI/ML deployment experience. - Proficiency with cloud platforms like AWS (SageMaker), Azure (ML Studio), or Google Cloud (AI Platform). - Strong programming skills in Python, R, or Java, especially for AI/ML workflows. - Experience with containerization and orchestration tools such as Docker and Kubernetes. - Familiarity with ML frameworks like TensorFlow, PyTorch, or scikit-learn. - Knowledge of data storage, databases, and big data technologies on cloud platforms. - Understanding of DevOps practices and CI/CD pipelines for AI model deployment. - Strong problem-solving and collaboration skills.


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