AI/ML Architect Job at Innoventrics in Plano
Innoventrics, Plano, TX, United States
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.
Opportunity
Hybrid: In office/remote
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.
What You Need
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 TensorFlow, PyTorch, Scikit‑learn, or similar.
Experience with cloud AI/ML services (AWS SageMaker, 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.
Compensation can differ depending on factors including but not limited to the specific office location, role, skill set, education, and level of experience. UST provides a reasonable range of compensation for roles that may be hired in various U.S. markets as set forth below.
Role Location: Texas
Bachelor’s or master s degree in computer science, data science, artificial intelligence, or related field.
Proficiency with AI/ML frameworks and libraries such as TensorFlow, PyTorch, Scikit‑learn, or similar.
Experience with cloud AI/ML services (AWS SageMaker, Google AI Platform, Azure ML).
Strong programming skills in Python, R, or Java.
Familiarity with containerization (Docker, Kubernetes) and CI/CD for ML workflows.
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.
Knowledge of data engineering, big data technologies, and data pipeline design.
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Opportunity
Hybrid: In office/remote
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.
What You Need
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 TensorFlow, PyTorch, Scikit‑learn, or similar.
Experience with cloud AI/ML services (AWS SageMaker, 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.
Compensation can differ depending on factors including but not limited to the specific office location, role, skill set, education, and level of experience. UST provides a reasonable range of compensation for roles that may be hired in various U.S. markets as set forth below.
Role Location: Texas
Bachelor’s or master s degree in computer science, data science, artificial intelligence, or related field.
Proficiency with AI/ML frameworks and libraries such as TensorFlow, PyTorch, Scikit‑learn, or similar.
Experience with cloud AI/ML services (AWS SageMaker, Google AI Platform, Azure ML).
Strong programming skills in Python, R, or Java.
Familiarity with containerization (Docker, Kubernetes) and CI/CD for ML workflows.
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.
Knowledge of data engineering, big data technologies, and data pipeline design.
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