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AI / ML Cloud Engineer

AI / ML Cloud Engineer

Sonata SoftwareBengaluru, Republic Of India, IN
21 days ago
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
  • Create a job alert for this search

    Cloud Engineer • Bengaluru, Republic Of India, IN

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