AI-Powered Data Solutions Architect

2 weeks ago

Ajmer, Rajasthan, India beBeeData Full time ₹ 1,50,00,000 - ₹ 2,00,00,000

At the forefront of digital innovation, we are crafting a tailored solution for companies seeking to harness cutting-edge agentic AI, LLMs and optimization tools.

Our team is comprised of recent MIT graduates with extensive expertise in digital transformation and AI across various sectors. We are eager to collaborate with like-minded professionals who share our passion for leveraging the latest advancements in data-driven technologies.

This role emphasizes the development of bespoke solutions that cater to the unique needs of e-commerce platforms serving the life sciences sector. The successful candidate will work closely with data scientists and product managers to support model development and experimentation, ensuring seamless integration of dynamic pricing algorithms and high-dimensional dataset processing.

  • Key Responsibilities:
  • Design and maintain scalable ETL pipelines for pricing, shipping, and behavioral datasets
  • Collaborate with cross-functional teams to develop innovative data-driven solutions
  • Develop robust APIs or backend logic to implement dynamic pricing algorithms
  • Create intuitive internal dashboards or tools with a focus on usability and performance
  • Ensure data quality, reliability, and documentation across systems
  • Perform feature engineering to feed predictive and optimization algorithms
  • Aggregate and transform high-dimensional datasets at scale to ensure modeling efficiency and robustness
  • Optimize algorithm performance for real-time and large-scale deployment

Requirements:

  • Ability to thrive in a dynamic, startup-like environment
  • 3+ years of experience in data engineering or backend development
  • Strong hands-on experience with Databricks and distributed data processing frameworks
  • Strong Python and SQL expertise; experience with cloud-based platforms (e.g., AWS, BigQuery, Snowflake)
  • Demonstrated ability to design and develop user-friendly internal tools or interfaces
  • Familiarity with experimentation systems and monitoring infrastructure
  • Experience handling large-scale, high-dimensional datasets efficiently
  • Experience with MLOps is preferred
  • Domain experience in e-commerce is preferred; knowledge of the pharmaceutical or scientific supply sector is a strong advantage

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