AI/ML Architect
Plano TX
Number of days onsite - 3 to 5
If Onsite Office Address Plano TX
Mandatory Areas
Must Have Skills
Skill 1 Yrs of Exp agentic ai
Skill 2 Yrs of Exp data science
Skill 3 Yrs of Exp machine learning
Skill 4 Yrs of Exp - big data
Job Description Position Overview:
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.
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.
1. Core AI/ML Technical Expertise
These are non-negotiable for the role:
Strong knowledge of machine learning algorithms
Proven experience with deep learning Expertise in Natural Language Processing (NLP)
Expertise in Computer Vision Experience building end to end AI/ML models (data prep training deployment monitoring)
2. AI/ML Tools Frameworks & Libraries Candidates must have hands-on proficiency with: TensorFlow PyTorch Scikit-learn Other modern ML libraries as needed
3. Cloud AI/ML Platforms Experience with at least one major cloud ecosystem: AWS SageMaker Google AI Platform Azure ML (important if your company is MS driven)
4. Programming Skills Strong coding background in: Python (must-have) R or Java (secondary but required in the JD)
5. Data Engineering & Big Data Mandatory understanding of data workflows: Data pipeline design & orchestration Big data technologies (e.g. Spark Hadoop Kafka) Data preprocessing and feature engineering at scale
6. Architecture & System Design Clear ability to architect: Scalable AI/ML systems Model deployment pipelines Real-time or batch inference systems Integration with existing enterprise infrastructure
AI/ML Architect Plano TX Number of days onsite - 3 to 5 If Onsite Office Address Plano TX Mandatory Areas Must Have Skills Skill 1 Yrs of Exp agentic ai Skill 2 Yrs of Exp data science Skill 3 Yrs of Exp machine learning Skill 4 Yrs of Exp - big data Job Desc...
AI/ML Architect
Plano TX
Number of days onsite - 3 to 5
If Onsite Office Address Plano TX
Mandatory Areas
Must Have Skills
Skill 1 Yrs of Exp agentic ai
Skill 2 Yrs of Exp data science
Skill 3 Yrs of Exp machine learning
Skill 4 Yrs of Exp - big data
Job Description Position Overview:
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.
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.
1. Core AI/ML Technical Expertise
These are non-negotiable for the role:
Strong knowledge of machine learning algorithms
Proven experience with deep learning Expertise in Natural Language Processing (NLP)
Expertise in Computer Vision Experience building end to end AI/ML models (data prep training deployment monitoring)
2. AI/ML Tools Frameworks & Libraries Candidates must have hands-on proficiency with: TensorFlow PyTorch Scikit-learn Other modern ML libraries as needed
3. Cloud AI/ML Platforms Experience with at least one major cloud ecosystem: AWS SageMaker Google AI Platform Azure ML (important if your company is MS driven)
4. Programming Skills Strong coding background in: Python (must-have) R or Java (secondary but required in the JD)
5. Data Engineering & Big Data Mandatory understanding of data workflows: Data pipeline design & orchestration Big data technologies (e.g. Spark Hadoop Kafka) Data preprocessing and feature engineering at scale
6. Architecture & System Design Clear ability to architect: Scalable AI/ML systems Model deployment pipelines Real-time or batch inference systems Integration with existing enterprise infrastructure
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