Operations Analyst (Machine learning Data Management)


    As a Data Operations Analyst, you will design and establish efficient processes that sit at the intersection of data management/engineering and machine learning. Your responsibilities touch on all aspects of data analysis and ML data management which include

  • Maintain and index datasets.
  • Visualize metrics and catalog corner cases.
  • Acquire and manage ML train/val datasets.
  • Acquire and manage ground-truth labels.
  • Create instructions and coordinate with ground-truth annotators.
  • Coordinate with ML research, software, and QA teams.
  • Understand the driving rules of various countries across the globe.


  • B.E / B. Tech, M.E / M. Tech with 5+ years of relevant work experience.
  • Excellent written and verbal communication skills.
  • Familiarity with ML concepts, such as supervised learning, accuracy, precision, etc.
  • Experience with databases (SQL/NoSQL) and AWS environment.
  • Ability to write basic scripts – Python (required).
  • Excellent problem-solving and project management skills.
  • Detail-oriented, analytical, and creative thinker with a passion for quality.
  • Flexible and can-do approach. Ability to adjust to changing priorities.
  • Passionate about becoming an expert in the area of AI/ML.

Desired Skills

  • Experience with leading/guiding a small team is a plus.
  • Familiarity with ML concepts, such as active learning, generalization, etc. is a plus.
  • Completion of AI/ML courses (e.g., https://www.coursera.org/specializations/deep-learning).
  • Familiarity with data visualization software (e.g., Tableau, Plotly-Dash) is a plus.
  • Experience computer Vision and image/video processing is a plus.

Operations Analyst (Machine learning Data Management)

4+ Years

We are committed to an inclusive and diverse team. Netradyne is an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status, or any legally protected status.

If there is a match between your experiences/skills and the Company’s needs, we will contact you directly.

Netradyne is an equal opportunity employer.

About you

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