AI Data Solutions Architect
14 hours ago
We are seeking a motivated and enthusiastic AI Intern to join our team at Marx Enterprise Transformation Architecture. The successful candidate will support data architecture and solution architecture initiatives, contributing to the design, development, and optimization of AI and data-driven solutions.
About UsMartx Enterprise Transformation Architecture is a leading provider of cutting-edge technology solutions. Our team of experts is dedicated to delivering innovative and effective solutions that drive business growth and success.
Key Responsibilities- Data Architecture Support:
- Assist in designing and implementing scalable data models and pipelines.
- Support data integration, transformation, and storage solutions using modern tools and platforms.
- Conduct data profiling, cleansing, and validation to ensure data quality.
- Collaborate with the architecture team to design and document AI-driven solutions.
- Research and recommend best practices for integrating AI models into existing systems.
- Help create proof-of-concept (PoC) applications and prototypes.
- Work with data scientists and engineers to support AI model deployment and monitoring.
- Optimize AI algorithms and systems for performance and scalability.
- Assist in creating dashboards and reports for monitoring AI system outcomes.
- Prepare documentation for architectural designs, data workflows, and solution implementations.
- Presentation findings and recommendations to technical and non-technical stakeholders.
- Stay updated on emerging trends and technologies in AI, data engineering, and architecture.
- Propose innovative ideas to enhance processes and systems.
The estimated salary range for this position is $80,000 - $120,000 per annum, depending on experience and qualifications.
QualificationsTo be eligible for this role, you must have a strong foundation in programming languages such as Python, Java, or Scala, and a good understanding of AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn). A degree in Computer Science, Data Science, Engineering, or a related field is highly desirable.
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