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John Deere

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4.1

based on 3.4k Reviews

Video summary

13 John Deere Jobs

Staff Engineer - Robotics

John Deere

4.1

based on 3.4k Reviews

12-15 years

₹ 63.5 - 50L/yr (AmbitionBox estimate)

Pune

1 vacancy

Staff Engineer - Robotics

John Deere

posted 3mon ago

Job Role Insights

Flexible timing

Key skills for the job

Computer Science Python Machine Learning Linux Administration C++ Computer Vision

+ 4 more

Job Description

Title: Staff Engineer - Robotics - 108269
Primary Location: India (IN) - Maharashtra - Pune
Job Grade: 09
Employee Referral Bonus: Referral Bonus will be provided as per Companys policy.

Duties:

The position shall provide Technical Engineering leadership for Computer Vision Machine Learning based application development projects
Lead project teams and drive project execution, within acceptable cost, quality, and schedule
Understand product requirements, prepare concepts/proposals, define execution plan, align stakeholders on delivery schedules
Creates,
analyzes technical requirements to
determine the best technical solution for complex problems or projects of difficult scope
Resolve software/schedule conflicts arising out of integration
Facilitates communication with stakeholders for roadblocks, dependencies and ensures team stays productive
Ensure quality deliverables from the team, perform design / code reviews, develop plans on test strategy
Stay abreast of the latest technological changes in the areas of CVML and introduces the same to the team
Contribute via technical papers , presentations in area of CVML as well as support the team in the same

Required:

12 to 15 years of excellent experience in the areas of Computer Vision & Machine Learning
Deep knowledge & experience of:-
- Image processing, Computer Vision, Machine Learning
- Machine learning techniques, analysis, and algorithms
- Object detection, tracking and recognition.
- Mono & Stereo Camera Calibration & Imaging
- Stereo Camera & Lidar 3D data processing, 2D and 3D Transformations
- Building production-grade Neural Network models using Computer vision techniques
Proficiency in: -
- Python, C++
- Image Processing and computer vision libraries like OpenCV
- Programming with strong experience in Data structures, algorithms
- Deep Learning fundamentals and experience with frameworks, such as TensorFlow, PyTorch, Caffe , Scikit
- Common Data science tool kits,
- Edge Compute - Embedded OS, Linux