AI Data Operations Specialist

2 weeks ago

Hyderabad Secunderabad Telangana, India beBeeDataAnalyst Full time ₹ 8,00,000 - ₹ 12,00,000
AI Data Operations Analyst

As a key player in our team, you will be responsible for ensuring the smooth operation of our AI-enabled applications. Your primary goal will be to ensure that our esteemed business is fully supported in using these critical applications.

The ideal candidate will have a strong background in data engineering and experience with large-scale data sets. You will work closely with cross-functional teams to design, build, test, and deploy enhancements that deliver value to our business and enhance application availability and usability.

  • Solve day-to-day application issues and address ad-hoc data requests to ensure clients can extract maximum value from our AI applications.
  • Debug issues related to data loads, batch pipelines, and application functionality, including special handling of data/batch streams.
  • Monitor and maintain pre-processing pipelines, model execution batches, and validation of model outputs. In case of deviations or model degradation, perform detailed root cause analysis and implement permanent fixes.
  • Work on initial triaging of code-related defects/issues, provide root cause analysis, and implement code fixes for permanent resolution of the defect.
  • Design, build, test, and deploy small to medium-sized enhancements that deliver value to our business and enhance application availability and usability.
  • Responsible for sanity testing of use cases as part of pre-deployment and post-production activities.
  • Primarily responsible for Application availability and stability by remediating application issues/bugs or other vulnerabilities.
Professional & Technical Skills:
  • Bachelor's or Master's degree in any engineering stream or MCA.
  • Experience/Education on Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems is preferable.
  • Proven experience (2+ years) in working as per the above job description is required. Exposure to Retail, Banking, Healthcare projects is an added advantage.
  • Proficiency and hands-on experience in Data Engineering technologies like Python, R, SQL, Spark, PySpark, Databricks, Hadoop, etc.
  • Ability to work with large data sets and present findings/insights to key stakeholders; Data management using databases like SQL.
  • Experience with any of the cloud platforms like AWS, Azure, or Google Cloud for deploying and scaling language models.
  • Experience with any of the data visualization tools like Tableau, QlikView, and Spotfire is good.
  • Knowledge on PowerBI & PowerApps is an added advantage.
  • Excellent analytical and problem-solving skills, with a data-driven mindset.
  • Proficient in Excel, MS Word, PowerPoint, etc.
  • Ability to solve complex business problems and deliver client delight.
  • Strong writing skills to build points of view on current industry trends.
  • Good Client handling skills; able to demonstrate thought leadership & problem-solving skills.

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