AI Data Architect
3 days ago
Job Title : AI Data Architect
About The Metromax Group
The Metromax Group is a global leader in innovative data solutions. Our mission is to provide cutting-edge data infrastructure that enables businesses to make data-driven decisions. We strive to create a collaborative environment that empowers our employees to excel in their roles and make a meaningful impact on our clients' success.
Primary Purpose :
- Design and develop scalable data infrastructure on the AWS cloud platform, with a focus on supporting AI model training, development, and deployment. This includes designing, developing, and implementing data pipelines, ensuring the secure and efficient flow of data for our AI models.
Responsibilities :
Data for AI :
- Design and implement data pipelines specifically tailored for AI training and model development.
- Partner with AI data scientists and engineers to understand their data needs and ensure efficient data access.
- Implement data pre-processing and feature engineering techniques for optimal model performance :
- Design, develop, and maintain data infrastructure on the AWS cloud platform, leveraging services like S3, Redshift, Glue, Lambda, and Kinesis.
- Build and maintain data lakes and warehouses optimized for AI workloads.
- Implement automated data transformations, cleansing, and validation processes to ensure data quality :
- Write code using Python, SQL, and other relevant programming languages, with a focus on libraries and frameworks commonly used in AI (e.g., TensorFlow, and monitoring :
- Automate data pipelines using CI/CD tools and related techniques
- Monitor and troubleshoot data pipelines for performance, reliability, and data quality :
Requirements :
- 4 to 8 years of experience as a Data Engineer or similar role, with a demonstrated experience in supporting data pipelines for AI applications and their data requirements.
- Proven experience with AWS services, including S3, Redshift, Glue, Lambda, and Kinesis.
- Strong experience with Python and SQL.
- Strong understanding of AI libraries and frameworks.
- Experience with data warehousing and data modeling concepts.
- Excellent problem-solving and analytical skills.
- Ability to work independently and as part of a collaborative team.
- Strong communication and collaboration skills.
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