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Urgent! AI/ML Cloud Engineer Job Opening In Bengaluru – Now Hiring Sonata Software

AI/ML Cloud Engineer



Job description

Job Title: Developer – GEN AI Developer with AWS & Python

Location: Bangalore/Hyderabad/Chennai

Job Type: Full-time

Experience Level: Mid-level

Department: Technology / Engineering/ Healthcare


Role Overview:

We are looking for a highly skilled and innovative Generative AI Developer to join our engineering team.

This role involves building scalable, cloud-native applications leveraging Generative AI technologies, AWS services (including Bedrock, Lambda, EKS), and developing APIs using Python Flask.

The ideal candidate will have a deep understanding of cloud architecture and hands-on experience deploying AI-driven services at scale.

Key Responsibilities:

  • Design, develop, and deploy Generative AI applications using Amazon Bedrock and foundation models.
  • Build RESTful APIs and backend services using Python Flask.
  • Implement serverless functions and workflows using AWS Lambda.
  • Architect and manage scalable cloud solutions using AWS Cloud Architecture best practices.
  • Containerize applications and manage deployments using AWS EKS (Elastic Kubernetes Service).
  • Collaborate with cross-functional teams including data science, DevOps, and product.
  • Integrate and fine-tune foundation models for business-specific use cases.
  • Ensure system security, scalability, and performance in production environments.
  • Participate in code reviews, agile ceremonies, and continuous integration efforts.

Required Skills & Qualifications:

  • 3+ years of professional experience in Python development.
  • Hands-on experience with AWS, including Lambda, EKS, and Bedrock.
  • Strong experience with Generative AI, including prompt engineering and model integration.
  • Proficiency in Flask for API development.
  • Deep understanding of AWS Cloud Architecture and security best practices.
  • Familiarity with containerization tools (Docker) and orchestration using Kubernetes/EKS.
  • Experience working in agile environments with modern DevOps tools and practices.
  • Strong problem-solving skills and ability to work independently.

Preferred Qualifications:

  • Experience with other AWS AI/ML services (e.G., SageMaker, Comprehend).
  • Exposure to CI/CD tools (e.G., CodePipeline, Jenkins, GitHub Actions).
  • Knowledge of infrastructure-as-code (e.G., Terraform, CloudFormation).
  • AWS Certification (e.G., AWS Certified Developer, Solutions Architect) is a plus.

What We Offer:

  • Competitive salary and benefits
  • Opportunities to work on cutting-edge AI/ML projects
  • A collaborative and inclusive team culture
  • Flexible work hours and remote options
  • Career growth and learning opportunities


Required Skill Profession

Computer Occupations



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