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Mogi I/O : OTT/Podcast/Short Video Apps for you

Cloud AI/ML Architect – AWS/Azure ML

plano, TX

Check who can apply and the requirements below before continuing.

About this opportunity

Mogi I/O : OTT/Podcast/Short Video Apps for you lists this Cloud AI/ML Architect – AWS/Azure ML opportunity in plano, Texas. Review the employer’s description below for duties, qualifications and application requirements.

Job description

Overview

We are seeking an experienced and innovative AI/ML Architect to design, lead, and deliver scalable artificial intelligence and machine learning solutions aligned with business objectives. This role will be responsible for defining end-to-end AI/ML architectures, selecting the right technologies, and guiding cross-functional teams to build high-impact, AI-driven products. The ideal candidate brings deep technical expertise, strong architectural vision, and the ability to translate complex business requirements into robust AI/ML solutions.

Role details

Role Location: Texas, USA

Work Model: Hybrid (In-office / Remote)

Employment Type: Full-Time

Compensation Range: USD -

Experience: 12 to 15 Years

Key Responsibilities

Design and define end-to-end AI/ML system architectures, including data ingestion, pipelines, model development, deployment, and performance monitoring.

Collaborate closely with business stakeholders to understand objectives and convert them into scalable technical AI/ML solutions.

Evaluate, recommend, and standardize AI/ML frameworks, tools, and platforms based on business and technical needs.

Establish best practices, governance standards, and architectural guidelines for AI/ML model development, testing, deployment, and lifecycle management.

Lead, mentor, and provide technical guidance to data scientists, ML engineers, and software developers throughout solution implementation.

Ensure AI/ML solutions are scalable, secure, reliable, and maintainable across environments.

Oversee seamless integration of AI/ML models with existing enterprise systems, applications, and IT infrastructure.

Monitor solution performance and drive continuous improvements in model efficiency, accuracy, and operational stability.

Qualifications & Experience

Required Qualifications

Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.

Proven experience working as an AI/ML Architect, Machine Learning Engineer, or Senior Data Scientist.

Strong hands-on expertise in machine learning algorithms, deep learning, natural language processing (NLP), and computer vision.

Technical Skills

Proficiency in AI/ML frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, or equivalent.

Experience with cloud-based AI/ML platforms including AWS SageMaker, Google AI Platform, or Azure Machine Learning.

Strong understanding of data engineering concepts, big data technologies, and data pipeline architecture.

Advanced programming skills in Python, R, or Java.

Practical experience with containerization and orchestration tools such as Docker and Kubernetes.

Familiarity with CI/CD pipelines and MLOps practices for model deployment and lifecycle management.

Soft Skills & Competencies

Strong analytical thinking and problem-solving capabilities.

Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.

Proven leadership and mentoring abilities in cross-functional technical teams.

Ability to manage multiple priorities and deliver solutions in a fast-paced environment.

High standards of professionalism, accountability, and technical integrity.

Benefits & Rewards

Full-time employees are eligible for a comprehensive benefits package, including:

Paid vacation, sick leave, and company-recognized holidays

401(k) retirement plan with employer matching

Medical, dental, and vision insurance coverage

Life insurance, disability coverage, and voluntary benefit options

Health Savings Account (HSA) and Flexible Spending Accounts (FSA)

Benefits may vary based on employment type and location.

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Worksite address

plano, TX, 75086, US

Who can apply

Review the original listing for work authorization, qualifications and employer requirements.

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