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AI/ML - Tech Lead / Architect

5 - 10 years

0 Lacs

ahmedabad gujarat india

Posted:2 days ago| Platform: Linkedin logo

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Skills Required

ai ml aws agility scalability devops engineering data service strategy consulting sagemaker mlflow model development deployment design learning preprocessing analysis training versioning monitoring scaling collaboration communication effectiveness documentation compliance

Work Mode

On-site

Job Type

Full Time

Job Description

Armakuni (AWS Premier Partner)


  • Cloud-Native Transformation :

    Guiding businesses through adopting cloud-native practices to optimize their operations

  • DevOps and Platform Engineering :

    Building robust, secure, and scalable platforms tailored to your unique needs.

  • Data Engineering :

    With our data engineering service you can transform your data into actionable business outcome

  • Gen AI & ML :

    Empower Business strategy with AI-Driven growth through Gen-AI Services

  • Tailored Solutions

    : Providing expert consulting services to deliver long-term success for your teams.


Get more insights about us by visiting us on our website https://www.armakuni.com/


Explore our all AWS Capabilities over here : Armakuni - Armakuni AWS Marketplace


AI/ML - Tech Lead / Architect


The following are requirements of skills set:


Skills :


Experience :


Location :


Roles & Responsibilities :


Model Development & Deployment:

  • Design, build, and deploy machine learning models to production environments using AWS SageMaker, AWS Bedrock, and other AWS AI/ML services.
  • Develop and deploy Generative AI applications using various LLMs.
  • Work on data preprocessing, exploratory data analysis (EDA), feature engineering, and model training pipelines using various ML pipelines and AWS services.
  • Implement best practices for model versioning, monitoring, and scaling in production.


Collaboration & Communication

  • Collaborate with data engineers to translate business requirements into ML models and work on data science-related problems as needed.
  • Work with DevOps and Data Engineering teams to deploy and maintain models in production, with a strong understanding of MLOps.
  • Present findings and progress to stakeholders, ensuring alignment with business objectives.


Innovation & Improvement

  • Continuously explore and implement new AWS AI/ML services (e.g., Amazon Rekognition, Comprehend, Lex, Polly, AWS Bedrock, and open-source LLMs) to improve existing solutions.
  • Optimize models for performance, scalability, and cost-effectiveness in the AWS cloud environment.


Documentation & Compliance:

  • Maintain detailed documentation of model architectures, training processes, and deployment pipelines.
  • Ensure compliance with industry standards and data privacy regulations.

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