Cloud Engineer - Gen AI

Job Description

Job Title: Cloud Engineer: Gen AI

Job Description

As a Cloud Engineer specializing in Generative AI, you will be responsible for designing, implementing, and managing cloud-based solutions that leverage AI technologies. You will work closely with data scientists, ML engineers, and software developers to create scalable and efficient AI models, ensuring that they are properly integrated into cloud environments. Your role will involve optimizing cloud infrastructure for AI workloads, managing deployment pipelines, and ensuring system reliability and performance. You will also be tasked with developing best practices for security, compliance, and cost management within the cloud infrastructure.

Key Responsibilities

• Design and implement cloud architectures for AI applications.
• Collaborate with teams to develop and optimize machine learning models.
• Automate deployment pipelines and CI/CD processes for AI solutions.
• Monitor cloud infrastructures, analyzing performance and scalability.
• Ensure compliance and security best practices are followed in AI deployments.
• Evaluate and integrate new tools and technologies for AI and cloud solutions.
• Provide support and troubleshooting for cloud-based AI systems.
• Document processes, architectures, and best practices related to cloud AI deployment.

Skills Required

• Strong understanding of cloud platforms (e.g., AWS, Azure, Google Cloud).
• Proficiency in Generative AI
• Proficiency in programming languages such as Python, Java, or Go.
• Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Keras).
• Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).
• Knowledge of serverless architectures and microservices.
• Experience with CI/CD tools (e.g., Jenkins, GitLab CI, CircleCI).
• Understanding of cloud security principles and best practices.
• Excellent problem-solving skills and a collaborative mindset.

Tools Required

• Cloud service providers (AWS, Azure, Google Cloud).
• Machine learning libraries and frameworks (TensorFlow, PyTorch).
• Infrastructure-as-code tools (Terraform, CloudFormation).
• Containerization tools (Docker) and orchestration platforms (Kubernetes).
• Monitoring and logging tools (Prometheus, Grafana, CloudWatch).
• CI/CD tools (Jenkins, GitLab, CircleCI).
• Data processing tools (Apache Spark, Hadoop).

Department

Data Modernization

Open Positions

2

Skills Required

Generative AI & Machine Learning, Python Programming, TensorFlow/PyTorch, Docker & Kubernetes, CI/CD Automation, Infrastructure as Code (Terraform/CloudFormation), Serverless & Microservices Architecture, Cloud Security & Compliance, Monitoring & Performance Optimization

Location

Mumbai, Maharashtra, India

Years Of Exp

3 to 5 years

Posted On

11-Mar-2026