AI Architect

Overview

Remote
$140,000 - $160,000
Full Time

Skills

Generative Artificial Intelligence (AI)
Artificial Intelligence
Machine Learning (ML)
Data Engineering

Job Details

Senior Technology Architect - AI Technology Architect

Permanent

Richardson, Texas

Job Description

  • At least 11 years of experience in Information Technology

  • At least 6 years of experience in AI, data engineering, creating data pipelines and processing huge volume of data.

  • At least 5 years of experience in Machine learning engineering /MLE , data science and data engineering, with a proven track record of delivering impactful solutions

  • Architectural Optimization - Experience in optimization of solution architectures with a focus on data security, privacy, application reliability, infrastructure scalability, and cost-efficiency for Data Science and Generative AI platforms

  • Scalable AI Solution Deployment - Experience in designing and implementing scalable AI and Data Science solutions capable of handling large-scale, distributed data and compute workloads across hybrid and cloud-native environments(OCI)

  • Performance Tuning for AI/ML and GenAI Workloads - Experience in hyperparameter tuning and performance optimization for AI/ML and Generative AI models to maximize accuracy, efficiency, and resource utilization

  • AI Full stack: Experience in in any full stack /development experience in pyhon or Java, or .Net or React, Node.js, Flask/Django, REST APIs

  • Proficiency in Python, SQL, and machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch

  • Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time

Preferred Qualifications:

  • Good understanding of Agile software development frameworks

  • Strong communication and Analytical skills

  • Ability to work in teams in a diverse, multi-stakeholder environment comprising of Business and Technology teams

  • Experience and desire to work in a global delivery environment

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