ATX Technologies PVT LTD logo

Cloud Solutions Architect (AWS & AI/ML) 7+ Years of Experience

7 years

0 Lacs

india

Posted:2 months ago| Platform: Linkedin logo

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Skills Required

aws ai ml service stack design architecture reliability scaling software development coding code management testing programming sage engineering data dynamodb api model training deployment sagemaker tensorflow pytorch python java devops containerization docker kubernetes gitops communication presentation learning openai

Work Mode

On-site

Job Type

Full Time

Job Description

AWS service expert (Full Stack)


7+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience. 7+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience. Solid programming with at least one software programming language experience. Experience with Sage maker, Q, ML & AI technologies. Experience as a mentor, tech lead or leading an engineering team


Required Skills & Qualifications

  • Bachelor’s/Master’s in Computer Science, Data Science, or related field.

  • 7+ years of experience

    in cloud architecture and solution design.

  • Deep expertise in AWS services

    : EC2, Lambda, ECS/EKS, S3, RDS, DynamoDB, API Gateway, CloudFront, Step Functions.
  • Strong knowledge of

    AI/ML lifecycle

    including data ingestion, model training, deployment, and monitoring.
  • Hands-on experience with

    Amazon SageMaker, TensorFlow, PyTorch, Scikit-learn, or Hugging Face

    .
  • Proficiency in

    Python, Java, or Node.js

    for AI/ML and cloud integrations.
  • Experience in

    DevOps/MLOps

    with CI/CD, containerization (Docker, Kubernetes), and GitOps workflows.
  • Excellent communication and presentation skills for

    C-level stakeholders

    .

Preferred Qualifications

  • AWS Certified Solutions Architect – Professional.
  • AWS Certified Machine Learning – Specialty.
  • Knowledge of

    Generative AI (LLMs)

    and

    prompt engineering

    using Amazon Bedrock or OpenAI integrations.
  • Experience in

    multi-cloud or hybrid cloud strategies

    .
  • Familiarity with

    big data platforms

    (AWS Glue, EMR, Redshift).


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