Benefits:

Flexible schedule

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Training & development

AI Architect (Hybrid - Richardson, Texas)

General Information

Description: The AI Architect is responsible for developing and implementing artificial

intelligence solutions to solve complex problems and enhance business operations. This role

works closely with cross-functional teams to design, develop, and deploy AI models and

algorithms that enable data-driven decision making. The AI Architect is an expert in machine

learning, deep learning, and data analysis and creates intelligent systems that automate

processes, improve efficiency, and drive business innovation.

Target Start Date – Feb 1, 2024

Schedule – 8:00 AM to 5:00 PM CST

Duration – 6 Months

Responsibilities

● Collaborating with cross-functional teams to define AI project requirements and

objectives, ensuring alignment with overall business goals.

● Conducting research to stay up-to-date with the latest advancements in generative AI,

machine learning, and deep learning techniques and identify opportunities to integrate

them into our products and services.

● Optimizing existing generative AI models for improved performance, scalability, and

efficiency.

● Creates, implements, and deploys AI solutions in business environments, considering

scalability, reliability, and security

● Assists in collecting and cleaning relevant datasets to ensure their suitability for

machine learning tasks

● Performs thorough testing and evaluation of AI models to ensure their performance

meets the desired business objectives

● Continuously monitors and optimizes the performance of deployed AI systems, making

necessary improvements and updates

● Stays updated with the latest advancements in AI and ML technologies to identify their

potential applications in the organization

● Collaborates with data scientists, software engineers, and other stakeholders to

integrate AI capabilities into existing systems and workflows

Job Requirements

Education

● A bachelor's degree in computer science, data science, software engineering, or related

field

Experience

● At least five years of experience with AI data science, ML engineering, or data analytics

● At least two years of experience designing and implementing AI solutions with a focus

on machine learning, recommendation systems, pattern recognition, NLP, or data

mining

● Experience on projects involving big data processing and distributed computing

frameworks such as Apache Spark

● Experience with Azure Open AI Models, Amazon Bedrock/SageMaker/Q, Microsoft CoPilot, etc

Skills

● Expert knowledge of machine learning techniques, including supervised and

unsupervised learning, reinforcement learning, and deep learning

● Proficiency in programming languages such as Python, R, JavaScript, and C++

● Knowledge of popular machine learning frameworks such as TensorFlow and PyTorch

● Familiarity with cloud platforms, such as AWS, Azure and GCP, and their relevant AI

services

● Familiarity with data engineering concepts, including data pipelines, data integration,

and data warehousing

● Ability to work with large datasets and perform data cleaning, transformation, and

manipulation

● Strong analytical and creative problem-solving skills

● Ability to effectively communicate technical information to business executives

● Adaptability and willingness to learn new AI technologies and techniques