必备技能
Python
AWS
Docker
Kubernetes
Terraform
PyTorch
TensorFlow
Job Description:We are looking for a highly skilled and experienced Computer Vision Engineer to join our dynamic team in developing advanced perception systems for robotic applications within the aircraft manufacturing industry. The ideal candidate will have a strong background in developing optimized computer vision algorithms.Key Responsibilities:
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Design and implement state-of-the-art computer vision algorithms encompassing image classification, object detection, semantic segmentation, tracking, and pose estimation using both conventional and deep learning methodologies.
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Create efficient and real-time convolutional neural network (CNN) models.
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Utilize deep learning frameworks such as Tensor Flow, Caffe, Pytorch for AI model development and OpenCV, eigen,LAPACK, GMTL for the image processing.
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Engage in rapid prototyping using Python, coupled with coding and debugging skills in C++.
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Lead and manage a multidisciplinary team, ensuring effective collaboration and clear communication of technical concepts to management and team members.
Qualifications:
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Minimum 4 years of experience in computer vision algorithm development.
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Solid foundation in image processing, neural networks, CNNs, and vision transformer architectures.
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Expertise in the entire deep learning lifecycle, including data preparation, model engineering, evaluation, deployment, monitoring, and maintenance.
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Experience in developing algorithms for 2D/3D sensors.
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Proficiency with Deep Learning libraries and algorithms (Tensor Flow & Keras, Py Torch, FastAI, U-Net, YOLO >= 5, Mask-R CNN, SAM).
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Experience with AWS (Sage Maker, Lambda, EC2, S3, RDS), CI/CD, Terraform, Docker, Kubernetes.
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Experience in model quantization, pruning, and knowledge distillation is beneficial.
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Experience with TensorRT, Deepstream, Open Vino, and TRITON is a plus.
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Understanding of sensor interfaces and calibration techniques is advantageous.
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Knowledge of Kalman filters, particle filters, clustering techniques is a plus.
This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company’s success, reputation and sustainable growth.
Company:
Airbus India Private Limited:
Employment Type:
Permanent
Experience Level:
Professional
Job Family:
Manufacturing Engineering
By submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus.
Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief.
Airbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to emsom@airbus.com.
At Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.
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Airbus
PublicAirbus SE is a European aerospace corporation. While the company's primary business is the design and manufacture of commercial aircraft, it also operates separate divisions for Defence and Space and Helicopters.
10,001+
员工数
Leiden
总部位置
$89B
企业估值
评价
10条评价
3.7
10条评价
工作生活平衡
3.2
薪酬
4.0
企业文化
4.1
职业发展
3.5
管理层
3.8
72%
推荐率
优点
Learning opportunities and professional development
Supportive team and collaborative environment
Good compensation and benefits
缺点
High pressure and performance expectations
Long hours and overwhelming workload
Bureaucratic and rigid structure
薪资范围
43个数据点
Junior/L3
L2
L6
L3
L4
L5
Junior/L3 · Data Science Engineer
1份报告
$114,826
年薪总额
基本工资
$88,327
股票
-
奖金
-
$114,826
$114,826
面试评价
4条评价
难度
3.0
/ 5
时长
14-28周
录用率
25%
体验
正面 25%
中性 75%
负面 0%
面试流程
1
Application Review
2
HR Screen
3
Technical/Hiring Manager Interview
4
Panel Interview
5
Offer
常见问题
Technical Knowledge
Behavioral/STAR
Past Experience
Culture Fit
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