AI Cloud Engineer

ConfidentialKolkata, Chennai, Hyderabad / Secunderabad, Telangana

30+ days ago

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.

Skills Required

Tensorflow, Pytorch, Python, Devops Tools, Aws, Azure

Cloud Engineer • Kolkata, Chennai, Hyderabad / Secunderabad, Telangana