Skip to content

General information

Location:
Bangalore - Karnataka, India - EOIZ Industrial Area
Worker Type Reference:
Regular - Permanent
Pay Rate Type:
Salary
Career Level:
T3(A)
Job ID:
R-43734-2025

Description & Requirements

Experience Level: 3-7 Years

Education Level: BE/B.Tech/ME/ M.Tech (CS or ECE)

Requirement – 2 (ML Engineer – Data and ML Training Pipeline Engineer)

ü  Proficient in Python language. Familiar with Tensorflow/Keras frameworks

ü  Experience in building ML Pipeline and setup big data processing pipelines

ü  Able to evaluate model and benchmark various model version on different data and report generation

ü  Experience in Vision Domain ML models would be an advantage but not must have

ü  Comfortable in generating data as per model format, tfrecords, lmdb or similar format.

ü  Comfortable in data analysis and visualization

ü  Knack for debugging of python compilation, data reading issues.

ü  Proficiency in usage of different development tools – git/gerrit, static/dynamic analysis tools, code coverage, test & performance analysis tools

Good to have:

ü  Comfortable with building data analysis, annotation scripts and exploring tools for ease of data understanding and annotations.

ü  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

ü  Experience in data visualization and cleaning for AI/ML projects.

ü  Synthetic Data Generation experience

ü  Able to track and version data used in ML pipeline and report generation


Important Notice: Recruitment Scams
Please be aware that HARMAN recruiters will always communicate with you from an '@harman.com' email address. We will never ask for payments, banking, credit card, personal financial information or access to your LinkedIn/email account during the screening, interview, or recruitment process. If you are asked for such information or receive communication from an email address not ending in '@harman.com' about a job with HARMAN, please cease communication immediately and report the incident to us through: harmancareers@harman.com. 



HARMAN is proud to be an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.