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    AWS AI Architect - Bangalore Urban, India - LTIMindtree

    LTIMindtree background
    Technology / Internet
    Description

    LTIMindtree is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 750 clients, LTIMindtree brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world.

    Job Details-

    Location – Mumbai / Pune / Hyderabad / Chennai / Bangalore / Noida / Kolkata / Coimbatore

    Notice Period - Immediate to 60 Days only

    Experience - 12+ Yrs.

    Mandatory Skills : AWS SageMaker + Bedrock + AI+ MLOps

    Job Summary

    Were looking for an AWS AI Architect who is highly experienced in designing and implementing AI applications using AWS services at scale in production for our Enterprise AI team In this role the candidate the ideal candidate will have deep understanding of AI technologies and extensive experience of deploying production grade solutions using these technologies on AWS platform You will be closely working with a cross functional team consisting of Data Scientists ML Engineers and Software Engineers

    Roles and Responsibilities

    • Work closely with stakeholders to understand business requirements and translate them to technical solutions leveraging AWS AI services
    • Design architect and oversee implementation of robust secure scalable performant and cost effective reliable AI applications
    • Lead development deployment and operationalization of optimized AI models
    • Utilize AWS AI services such as Bedrock SageMaker Rekognition Comprehend Lambda EC2 S3 ECS and EKS to build end to end AI solutions
    • Design and collaborate with data scientists and data engineers to integrate AI applications with existing enterprise systems
    • Provide guidance and best practices on AI architectures design pattern and implementation methodologies
    • Stay up to date with the latest advancements in AI technology and AWS services and drive innovation by exploring and implementing new use cases using appropriate tools and services
    • Excellent communication and inter personal skills to collaborate with data scientists engineers and other key stakeholders
    • Work well in a fast paced cross functional environment

    Mandatory Skills Requirements

    • Overall experience of 12+ years with minimum 8 years of experience in designing AI or ML applications
    • Proven experience as an AI architect with a focus on building performant AI solutions for multiple clients across different domains using AWS platform
    • Strong experience in machine learning deep learning natural language processing computer vision techniques
    • Experience and understanding of Generative AI models transformer architectures would be advantage
    • Proficiency in using AI frameworks such as Tensorflow Pytorch MXNet using programming languages such as Python
    • Experience with containerization using Docker and orchestration using Kubernetes
    • Using Infrastructure automation using CloudFormation or Terraform
    • Experience implementing AWS AI services or pre trained models in business applications
    • Experience with various model deployment strategies
    • Experience with version control tools such as Git Bitbucket etc
    • Strong communication and interpersonal skills with the ability to collaborate effectively with cross functional teams and other stakeholders
    • Outstanding analytical and problem solving skills

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