Job Title: Computer Vision Engineer

Location: Baner, Pune

Salary: INR 4-6 Lakhs per annum

Experience Level: 0-3 years

Job Type: Full-time

Job Description:

As a Computer Vision Engineer at Muks Robotics- The AI Robotics Company you will play a key role in designing, developing, and implementing computer vision algorithms and systems. You will work closely with our multidisciplinary team of engineers and researchers to create innovative solutions that address a variety of challenges in [mention specific industry/sector]. The ideal candidate will have a strong background in computer vision, machine learning, and software development.

Responsibilities:

1. Develop and implement computer vision algorithms for various applications, including object detection, recognition, tracking, and classification.
2. Collaborate with cross-functional teams to understand project requirements and translate them into technical specifications.
3. Design and optimize computer vision pipelines to achieve high performance and scalability.
4. Conduct experiments and evaluations to validate the effectiveness of the developed algorithms.
5. Stay updated on the latest advancements in computer vision and machine learning research and technologies.
6. Participate in code reviews, documentation, and testing activities to ensure the quality and reliability of the software.

Requirements:

1. Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.
2. 0-3 years of experience in computer vision, machine learning, or related areas.
3. Strong programming skills in languages such as Python, C++, or Java.
4. Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or Keras.
5. Experience with computer vision libraries and tools such as OpenCV.
6. Knowledge of image processing techniques and algorithms.
7. Excellent problem-solving and analytical abilities.
8. Strong communication and teamwork skills.

Job Type: Full-time

Pay: ₹40,000.00 - ₹50,000.00 per year

Schedule: Day shift

Experience: Total work: 2 years (Preferred)

Work Location: In person