As a Data Architect AI/ML, you will be responsible for designing, building, and maintaining the data infrastructure that supports our AI/ML initiatives. You will collaborate closely with data scientists, machine learning engineers, and business stakeholders to understand their data requirements and translate them into scalable and efficient data solutions. Your work will directly impact the development and deployment of AI-powered products and services, enable data-driven decision-making and driving business growth.

Key Responsibilities :

– Design and implement scalable and robust data architectures for AI/ML applications, ensuring data quality, security, and performance.

– Develop and maintain data pipelines for ingestion, processing, and storage of large datasets from diverse sources, enabling efficient data access for AI/ML models.

– Collaborate with data scientists and machine learning engineers to understand their data needs and provide guidance on data modeling, data warehousing, and data governance best practices.

– Evaluate and recommend appropriate data technologies and platforms, including cloud-based solutions (GCP, AWS, Azure), to meet the evolving needs of the organization.

– Define and enforce data standards and policies to ensure data consistency, accuracy, and compliance with regulatory requirements.

– Lead the design and implementation of data lakes and data warehouses to support analytical and reporting needs across the organization.

– Develop and maintain data documentation, including data dictionaries, data flow diagrams, and data lineage, to ensure data transparency and understanding.

– Research and evaluate new data technologies and trends, such as LLMs, and provide recommendations for their adoption within the organization.

Required Skillset :

– Strong Experience :

1. MCP

2. AWS Glue

3. LLM Models / AI Architecture

4. AWS / Azure / GCP (multi-cloud exposure preferred)

5. PostgreSQL

6. Data Architecture & Modern Data Platforms

– Demonstrated ability to design and implement data architectures for AI/ML applications, including data modeling, data warehousing, and data pipeline development.

– Proven expertise in working with cloud-based data platforms (GCP, AWS, Azure) and related services.

– Strong understanding of data governance principles and practices, including data quality, data security, and data compliance.

– Experience with various database technologies, including PostgreSQL and other relational and NoSQL databases.

– Excellent communication and interpersonal skills, with the ability to effectively collaborate with data scientists, machine learning engineers, and business stakeholders.

– Solid understanding of machine learning concepts and techniques, including feature engineering, model training, and model deployment.

– Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.

– Ability to work effectively in a fast-paced, collaborative environment.

– 12-15 years of relevant experience in Data Architecture, Data Science, and Machine Learning

Are you interested in this position?

Apply by clicking on the “Apply Now” button below!

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