Senior Staff Data Science engineer

15 hours ago


Bengaluru, Karnataka, India Wabtec Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Position Overview: We are seeking a talented Computer Vision Engineer with expertise in image processing, deep learning, and software development to join our KinetiX team. The successful candidate will play a crucial role in translating existing code base to a state-of-the-art system while contributing to the development of advanced computer vision algorithms for laser and camera-based accurate detection and measurement of rail components at high speeds.

Responsibilities:

  • Develop next generation machine vision system with Python/C++.
  • Develop and lead implementation of state-of-the-art computer vision algorithms, both traditional image processing and deep learning for accurate measurement and detection of rail components using laser and camera-based systems.
  • Optimize algorithms for real-time performance and high-speed processing.
  • Collaborate with cross-functional teams including hardware engineers, software developers, and domain experts to integrate computer vision solutions into our products.
  • Conduct research to stay updated on the latest advancements in computer vision, deep learning, and image processing.
  • Design and implement advanced AI annotation and active learning pipelines
  • Develop synthetic data generation strategies using simulation technologies
  • Provide technical guidance and mentorship to team of data scientists and machine learning engineers

Requirements:

  • Master's or Ph.D. degree in Computer Science or related field.
  • 10+ years of work experience, with 7+ years of relevant experience in image processing, computer vision, and deep learning.
  • Proficiency in MATLAB and strong skills in Python and/or C++ programming languages.
  • Experience with software development tools and libraries such as OpenCV, TensorFlow, PyTorch, etc.
  • Strong understanding of deep learning techniques and algorithms.
  • Experience with point cloud  and camera-based measurement/detection systems.
  • Strong background in 3D point cloud processing.
  • Knowledge on MLOps and DevOps would be good to have.
  • Knowledge on any cloud platform GCP/Azure/AWS would be preferred.
  • Experience with containerization technologies such as Docker and orchestration tools like Kubernetes.
  • Excellent problem-solving skills and ability to work independently as well as in a team environment.
  • Strong communication skills with the ability to articulate technical concepts effectively.

Personal Attributes:

  • Strong oral and written communication skills.
  • Strong interpersonal and influencing skills.
  • Effective team building and problem-solving abilities.
  • Demonstrate the ability to quickly understand and learn new concepts, in analytics and other supporting technologies.

Our Commitment to Embrace Diversity:

Wabtec is a global company that invests not just in our products, but also our people by embracing diversity and inclusion. We care about our relationships with our employees and take pride in celebrating the variety of experiences, expertise, and backgrounds that bring us together. At Wabtec, we aspire to create a place where we all belong and where diversity is welcomed and appreciated.

To fulfill that commitment, we rely on a culture of leadership, diversity, and inclusion. We aim to employ the worlds brightest minds to help us create a limitless source of ideas and opportunities. We have created a space where everyone is given the opportunity to contribute based on their individual experiences and perspectives and recognize that these differences and diverse perspectives make us better.

We believe in hiring talented people of varied backgrounds, experiences, and styles People like you Wabtec Corporation is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, or protected Veteran status. If you have a disability or special need that requires accommodation, please let us know.



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