Stryker

Staff Engineer - Computer Vision and Machine Learning

Stryker

Gurugram, Haryana, India
Full-TimeDepends on ExperienceSenior LevelMasters
Job Description

Are you looking for a career opportunity that combines cutting-edge technology with making a positive impact on people's lives? Look no further! Stryker is seeking a passionate and driven Staff Engineer in the field of Computer Vision and Machine Learning to join our team. In this role, you will have the opportunity to use your skills and expertise to develop innovative solutions for medical devices and equipment, ultimately improving patient outcomes. If you have a strong background in computer vision and machine learning, and a desire to work in a dynamic and collaborative environment, we want to hear from you. Join us in our mission to make healthcare better through the power of technology.

  1. Develop innovative solutions using computer vision and machine learning technology for medical devices and equipment.
  2. Conduct research and analysis to identify opportunities for improvement in patient outcomes.
  3. Collaborate with cross-functional teams to design, develop, and implement new products and features.
  4. Stay up-to-date with advancements in computer vision and machine learning to ensure the company remains at the forefront of technology.
  5. Create and maintain detailed technical documentation for products and projects.
  6. Troubleshoot and resolve technical issues related to computer vision and machine learning.
  7. Participate in product testing and quality assurance processes.
  8. Provide technical expertise and guidance to other team members.
  9. Participate in team meetings and contribute to the overall growth and success of the company.
  10. Adhere to company policies and procedures, including safety protocols.
  11. Continuously improve and enhance existing products and processes.
  12. Communicate effectively with stakeholders, including team members, management, and clients.
  13. Maintain a strong understanding of industry trends, competitor products, and market demands.
  14. Represent the company at industry events and conferences.
  15. Uphold the company's mission and values and work towards achieving its goals.
Where is this job?
This job is located at Gurugram, Haryana, India
Job Qualifications
  • Bachelor's Or Master's Degree In Computer Science, Electrical Engineering, Or A Related Field.

  • At Least 5 Years Of Experience In Developing Computer Vision And Machine Learning Algorithms.

  • Strong Knowledge Of Programming Languages Such As Python, C++, And/Or Java.

  • Experience With Deep Learning Frameworks Such As Tensorflow, Pytorch, Or Keras.

  • Prior Experience In Medical Device Industry Or Healthcare Technology Is Preferred.

Required Skills
  • Data Analysis

  • Machine Learning

  • Deep Learning

  • Computer Vision

  • Algorithm development

  • Statistical modeling

  • Image Processing

  • Neural Networks

  • Object detection

  • Pattern Recognition

  • Feature Extraction

  • Image Seg

Soft Skills
  • Communication

  • Conflict Resolution

  • Leadership

  • Time management

  • Interpersonal Skills

  • creativity

  • Critical thinking

  • Teamwork

  • Adaptability

  • Problem-Solving

Compensation

According to JobzMall, the average salary range for a Staff Engineer - Computer Vision and Machine Learning in Gurugram, Haryana, India is between ₹1,500,000 - ₹2,000,000 per year. This may vary depending on the specific company, industry, and level of experience of the individual.

Additional Information
Stryker is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Required LanguagesHindi
Job PostedDecember 5th, 2024
Apply BeforeJune 9th, 2026
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About Stryker

Stryker Corp. is engaged in providing medical technology products and services. It operates through the following segments: Orthopaedics, MedSurg and Neurotechnology and Spine. The Orthopaedics segment provides reconstructive and trauma implant systems. The Medsurg segment deals with surgical instruments and equipment, endoscopy, patient handling, and reprocessed medical devices. The Neurotechnology and Spine segment pertains to spinal implants and neurovascular products.

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