Role: AI/ML Architect
Location: Plano TX
Duration: 12+Months
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.
Key Responsibilities:
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.
Monitor model performance and implement strategies for continuous improvement and retraining. Stay updated on the latest AI/ML research, tools, and industry trends to drive innovation.
Manage technical risks and troubleshoot complex AI/ML system issues.
Required Skills and Qualifications:
Bachelors or masters 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 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.
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 Preparation → 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 Sage Maker Google AI Platform Azure ML (important if your company is MSA 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
Never miss an opportunity! Create an alert based on the job you applied for.
