HARMAN’s engineers and designers are creative, purposeful and agile. As part of this team, you’ll combine your technical expertise with innovative ideas to help drive cutting-edge solutions in the car, enterprise and connected ecosystem. Every day, you will push the boundaries of creative design, and HARMAN is committed to providing you with the opportunities, innovative technologies and resources to build a successful career.

A Career at HARMAN

As a technology leader that is rapidly on the move, HARMAN is filled with people who are focused on making life better. Innovation, inclusivity and teamwork are a part of our DNA. When you add that to the challenges we take on and solve together, you’ll discover that at HARMAN you can grow, make a difference and be proud of the work you do everyday.

Experience Level: 5 to 10 Years

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

v 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

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.