Data Architect for Generative AI

2 weeks ago

Chennai Bengaluru Bangalore Delhi, India beBeeDataArchitect Full time ₹ 15,00,000 - ₹ 20,00,000

Job Title: Data Architect for Generative AI

About the Role

We are seeking a highly skilled Data Architect to join our team and drive the design and development of data pipelines for Generative AI projects. The ideal candidate will have a strong understanding of data engineering technologies, including Vector DB, Graph DB, Airflow, Spark, PySpark, Python, langchain, AWS Functions, Redshift, and SSIS.

The successful candidate will be responsible for designing and implementing efficient data flows that support the data requirements of our cutting-edge AI initiatives. This includes collaborating with data scientists, AI researchers, and other stakeholders to understand data requirements and translate them into effective data engineering solutions.

The role involves managing movement, organization, and quality assessments of large sets of data to facilitate the creation of Knowledge Base for RAG systems and model training. Additionally, the candidate will demonstrate familiarity with data integration services such as AWS Glue and Azure Data Factory, showcasing the ability to effectively utilize these platforms for seamless data ingestion, transformation, and orchestration across various sources and destinations.

Possessing proficiency in constructing data warehouses and data lakes is essential, demonstrating a strong foundation in organizing and consolidating large volumes of structured and unstructured data for efficient storage, retrieval, and analysis.

Ongoing optimization and maintenance of data pipelines to ensure high-performance, reliable, and scalable data processing is also a key responsibility. Furthermore, developing and implementing data validation and quality assurance procedures to ensure the accuracy and consistency of the data used in Generative AI projects is required.

Monitoring and troubleshooting data pipeline performance, identifying bottlenecks, and implementing improvements as necessary is also an essential task. Lastly, staying current with emerging trends and technologies in the fields of data engineering, Generative AI, and related areas ensures the continued success of our projects.

Qualifications
  • Bachelors or Masters degree in Computer Science, Engineering, or a related field.
  • Strong experience with data engineering technologies, including Vector DB, Graph DB, Airflow, Spark, PySpark, Python, langchain, AWS Functions, Redshift, and SSIS.
  • Strong understanding of data warehousing concepts, ETL processes, and data modeling.
  • Strong understanding of S3 and code-based scripting to move large volumes of data across application storage layers.
  • Familiarity with Generative AI concepts and technologies, such as GPT-4, Transformers, and other natural language processing techniques.
  • Excellent problem-solving, analytical, and critical thinking skills.
  • Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams.
  • Preferred Qualifications/ Skills:
  • Knowledge of cloud computing platforms, such as AWS, Azure, or Google Cloud Platform, is a plus.
  • Experience with big data technologies, such as Hadoop, Hive, or Presto, is a plus.
  • Familiarity with machine learning frameworks, such as TensorFlow or PyTorch, is a plus.
  • A continuous learning mindset and a passion for staying up-to-date with the latest advancements in data engineering and Generative AI.

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