NeerInfo Solutions
Client is seeking an
AI Technology Architect . In this role, you will enable digital transformation for our clients in a global delivery model, research on technologies independently, recommend appropriate solutions and contribute to technology‑specific best practices and standards. You will provide inputs for identifying best‑fit architectural solutions for one or more projects; develop design of applications, provide regular support and guidance to project teams on complex coding and issue resolution with the objective of ensuring best‑fit and high‑quality technical solutions within the area of technology specialization and in compliance with guidelines, policies and norms of Infosys. You will be part of a learning culture, where teamwork and collaboration are encouraged, excellence is rewarded, and diversity is respected and valued.
Required Qualifications
Candidate must be located within commuting distance of Richardson, TX or be willing to relocate to the area.
Experience in AI, data engineering, creating data pipelines and processing huge volume of data.
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 any full stack/development experience in Python 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.
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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AI Technology Architect . In this role, you will enable digital transformation for our clients in a global delivery model, research on technologies independently, recommend appropriate solutions and contribute to technology‑specific best practices and standards. You will provide inputs for identifying best‑fit architectural solutions for one or more projects; develop design of applications, provide regular support and guidance to project teams on complex coding and issue resolution with the objective of ensuring best‑fit and high‑quality technical solutions within the area of technology specialization and in compliance with guidelines, policies and norms of Infosys. You will be part of a learning culture, where teamwork and collaboration are encouraged, excellence is rewarded, and diversity is respected and valued.
Required Qualifications
Candidate must be located within commuting distance of Richardson, TX or be willing to relocate to the area.
Experience in AI, data engineering, creating data pipelines and processing huge volume of data.
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 any full stack/development experience in Python 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.
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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