AI Data Solutions Architect

14 hours ago


Delhi, Delhi, India Marx Enterprise Transformation Architecture Full time
Position Overview

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 Us

Martx 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
  1. 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.
Solution Architecture Support:
  • 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.
Ai and Machine Learning Integration:
  • 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.
Documentation and Communication:
  • Prepare documentation for architectural designs, data workflows, and solution implementations.
  • Presentation findings and recommendations to technical and non-technical stakeholders.
Continuous Learning and Innovation:
  • Stay updated on emerging trends and technologies in AI, data engineering, and architecture.
  • Propose innovative ideas to enhance processes and systems.
Salary Range

The estimated salary range for this position is $80,000 - $120,000 per annum, depending on experience and qualifications.

Qualifications

To 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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