ML -Computer VisionAgentic framework
ML -Computer VisionAgentic framework
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Job Description
HARMANs engineers and designers are creative purposeful and agile. As part of this team youll combine your technical expertise with innovative ideas to help drive cuttingedge 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 youll discover that at HARMAN you can grow make a difference and be proud of the work you do everyday.
Experience Level: 37 Years
Education Level: BE/B.Tech/ME/ M.Tech (CS or ECE)
vRequirement 2 (ML Engineer Data and ML Training Pipeline Engineer)
Proficient in Python language. Familiar with Tensorflow/Keras frameworks
Experience in building ML Pipeline and setup big data processing pipelines
Able to evaluate model and benchmark various model version 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
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
HARMAN is proud to be an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard torace 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.
Required Experience:
Unclear Seniority
Employment Type
Full-Time
