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Machine Learning Engineer Position Available

3 weeks ago


Kurnool, Andhra Pradesh, India beBeeData Full time ₹ 69,99,000 - ₹ 1,49,70,000

About our company:

We are a global digital solutions and technology consulting firm that balances innovation with an open, friendly culture and the backing of a long-established parent organization known for its ethical reputation.

We guide customers from what's now to what's next by unlocking the value of their data and applications to solve their digital challenges, achieving outcomes that benefit both business and society.

Our key focus areas include Digital Transformation, Enterprise AI, Data & Analytics, and Product Engineering—reflecting our strategic commitment to driving innovation and value for clients across industries.

Jurisdiction: We operate in multiple countries.

Job Responsibilities:

  • Proficient in Python language.
  • Familiar with Tensorflow/Keras frameworks.
  • Experience in building ML Pipeline and setting up big data processing pipelines.
  • Able to evaluate model and benchmark various model versions on different data and report generation.
  • Experience in Vision Domain ML models would be an advantage but not must have.
  • Comfortable in generating data as per model format, tfrecords, lmdb or similar format.
  • Comfortable in data analysis and visualization.
  • Knack for debugging of python compilation, data reading issues.
  • Proficiency in usage of different development tools – git/gerrit, static/dynamic analysis tools, code coverage, test & performance analysis tools.

Required Skills and Qualifications:

  • 3+ years of experience.
  • Good to have: Comfortable with building data analysis, annotation scripts and exploring tools for ease of data understanding and annotations.
  • Knack for data debugging and verify which classes/types of data are causing the ML model to fail. Should be comfortable in writing scripts to filter out/analyze such images and should be able to draw a conclusion after verifying the failure cases
  • Experience in data visualization and cleaning for AI/ML projects.
  • Synthetic Data Generation experience.
  • Able to track and version data used in ML pipeline and report generation.