AI/ML Architect
Listed on 2026-02-20
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IT/Tech
AI Engineer, Machine Learning/ ML Engineer, Data Scientist, Data Engineer
Job Title: AI/ML Architect
Location: Plano, TX (Hybrid: In office/remote)
Work Type: Hybrid 3 days onsite /remote
Domain: Information technology (IT)
Duration: Fulltime Role
Experience: 12 - 15 Years
Visa: US Citizen, Green card holder (No third party involvement)
NOTE: No VISA Sponsorship & NO C2C
Job description:
An AI/ML Architect designs and leads the development of artificial intelligence and machine learning solutions that align with business objectives. This role involves creating scalable AI/ML architectures, selecting appropriate algorithms and technologies, and guiding data science and engineering teams to deliver impactful AI-driven products.
The opportunity- Design end-to-end AI and machine learning system architectures, including data pipelines, model development, deployment, and monitoring.
- Collaborate with business stakeholders to understand requirements and translate them into technical AI/ML solutions.
- Evaluate and select appropriate AI/ML frameworks, tools, and platforms.
- Define best practices and standards for AI/ML model development, testing, and deployment.
- Lead and mentor data scientists, ML engineers, and software developers in implementing AI solutions.
- Ensure AI/ML systems are scalable, secure, and maintainable.
- Oversee integration of AI/ML models with existing IT infrastructure and applications.
- This position description identifies the responsibilities and tasks typically associated with the performance of the position. Other relevant essential functions may be required.
Skills and Qualifications
- Bachelor’s or master s degree in computer science, Data Science, Artificial Intelligence, or related field.
- Proven experience as an AI/ML Architect, Data Scientist, or Machine Learning Engineer.
- Strong expertise in machine learning algorithms, deep learning, natural language processing, and computer vision.
- Proficiency with AI/ML frameworks and libraries such as Tensor Flow, PyTorch, Scikit-learn, or similar.
- Experience with cloud AI/ML services (AWS Sage Maker, Google AI Platform, Azure ML).
- Knowledge of data engineering, big data technologies, and data pipeline design.
- Strong programming skills in Python, R, or Java.
- Familiarity with containerization (Docker, Kubernetes) and CI/CD for ML workflows.
Arushi Khanna | Associate - Hiring & Recruitment
Email:
Vishal (Victor) Verma | Assistant Manager
NS IT Solutions
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