Track This Job
Add this job to your tracking list to:
- Monitor application status and updates
- Change status (Applied, Interview, Offer, etc.)
- Add personal notes and comments
- Set reminders for follow-ups
- Track your entire application journey
Save This Job
Add this job to your saved collection to:
- Access easily from your saved jobs dashboard
- Review job details later without searching again
- Compare with other saved opportunities
- Keep a collection of interesting positions
- Receive notifications about saved jobs before they expire
AI-Powered Job Summary
Get a concise overview of key job requirements, responsibilities, and qualifications in seconds.
Pro Tip: Use this feature to quickly decide if a job matches your skills before reading the full description.
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. Role Location: 3 days onsite (Plano, TX)
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
- 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.
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.
Key Skills
Ranked by relevanceReady to apply?
Join Innoventrics and take your career to the next level!
Application takes less than 5 minutes

