Job Context:
Riseup Labs is looking for a Machine Vision Engineer. As a Machine Vision Engineer, you will play a critical role in designing, developing, and implementing machine vision algorithms and systems for motion analysis in sports applications. You will work closely with a multidisciplinary team of engineers and product managers to create innovative solutions that address complex challenges in the sports. The ideal candidate will have a strong background in computer vision, experience in motion analysis, and a deep understanding of the mechanics and techniques involved in bowling or other ball sports.
Job Responsibilities:
- Design, develop, and optimize computer vision algorithms and systems for real-time motion analysis in sports applications, with a focus on bowling, golf, or other ball sports.
- Collaborate with sports scientists and domain experts to understand the specific needs and challenges of athletes and coaches in the target sports.
- Leverage machine learning, deep learning, and other advanced techniques to improve the accuracy and robustness of motion analysis algorithms.
- Develop and implement software for processing and analyzing video data from various sources, including high-speed cameras, depth sensors, and wearable devices.
- Conduct experiments and evaluations to validate the performance of machine vision algorithms and systems, using both synthetic and real-world data.
- Collaborate with the engineering team to integrate machine vision solutions into our software and hardware platforms.
- Stay abreast of the latest developments in computer vision, motion analysis, and sports science research, and contribute to the ongoing innovation efforts at Super Money.
Educational Requirements:
- B.Sc/ MSC or PhD in CSE/EEE or A related field from any reputed public or private university.
Additional Requirements:
- A bachelor or master& degree in computer science, electrical engineering, or a related field, with a focus on computer vision and motion analysis.
- A minimum of 3 years of experience in machine vision engineering, with a strong emphasis on motion analysis and sports applications.
- Proficiency in programming languages such as Python, C++, or Java, and experience with computer vision libraries such as OpenCV or TensorFlow.
- Familiarity with machine learning and deep learning techniques, and experience with frameworks such as PyTorch or Keras.
- A strong understanding of the mechanics and techniques involved in bowling or other ball sports, and a passion for sports and athletic performance.
- Excellent problem-solving and analytical skills, with the ability to design and implement creative solutions to complex challenges.
- Strong communication and collaboration skills, with the ability to work effectively in a multidisciplinary team environment.
Workplace:
Working Hours:
Salary:
- Negotiable (Based on experience and skills)
Compensation & Other Benefits:
- Annual Performance Evaluation and Increment
- Festival Bonus (3)
- Group Life and Health Insurance
- Full Subsidize Lunch
- Annual Retreats
- Wedding Bonus (As per company’s policy)
- Celebration of Events & Occasions
- Team Outing
- Training & Development by Organization Assigned Consultants
- Weekly 2 holidays (Friday, Saturday) / (Saturday, Sunday)
- Paid Time Off 24 days (CL & SL)
- Maternity Leave with benefit (As per company's policy)
- Paternity Leave
- Public holidays as per Riseup Labs calendar
The Application Process:
- Telephone Round.
- Interview with the Product Team Lead & Talent Acquisition Team.
- Job Offer.
N.B.: Only shortlisted candidates will be communicated in the recruitment process.