AWS Cloud Engineer For Automotive Data Science, AI & GenAI (Bengaluru)

Aziro is seeking an AWS Cloud Engineer to design, develop, and implement deployment pipelines for Data Science, ML, AI, and GenAI solutions on the AWS cloud platform.

• Build and maintain CI/CD and CT pipelines using modern orchestration tools
• Support the lifecycle management of ML models and LLM-based applications
• Ensure performance, reliability, scalability, and cost-efficiency of production AI workloads

• Design, develop, and implement deployment pipelines for Data Science, ML, AI, and GenAI solutions on AWS cloud
• Build and maintain CI/CD and CT pipelines using GitHub Actions, Airflow, or similar orchestration tools
• Support deployment and lifecycle management of ML models, LLM-based applications, prompt workflows, embeddings, vector search, and API-based AI services
• Collaborate with data scientists, GenAI engineers, and data engineers to define technical requirements and operational standards
• Continuously monitor and maintain ML and GenAI pipelines in production for performance, reliability, latency, cost efficiency, and model quality
• Implement observability for AI/GenAI workloads, including model drift, data quality, hallucination indicators, and cost metrics
• Optimize pipelines and runtime environments for scalability, security, automation, and cost-effectiveness

• Bachelors or masters degree in computer science, engineering, informatics, data science, or equivalent qualification
• Strong hands-on experience in Data Science, AI, and GenAI operations with AWS cloud services (ECS, SageMaker, Batch, Lambda, API Gateway, S3, Redshift, CloudWatch)
• Experience with GenAI ecosystem components like foundation models, prompt orchestration, RAG, and vector databases
• Proficiency in Python and PySpark, along with hands-on container and automation experience (Airflow, GitHub Actions, SonarQube)
• Strong understanding of CI/CD, deployment automation, infrastructure as code, and observability platforms like Datadog