AI/ML Engineer – Computer Vision

2 days ago

Pune, Maharashtra, India Muks Robotics – The AI Robotics Company Full time ₹ 1,04,000 - ₹ 1,30,878 per year

Job Title: AI/ML Engineer Computer Vision (Onsite Project)

Location: Baner, Pune

Employment Type: Full- Time

Experience Level: 2-3+

Position - 3

Job Summary:

We are seeking a highly skilled and motivated AI/ML Engineer with expertise in

Computer Vision to join our team for an onsite project. The successful candidate will be

responsible for designing, developing, and deploying advanced machine learning and deep

learning models to solve real-world vision-related challenges. This role requires close

collaboration with cross-functional teams including data scientists, software engineers, and

product managers.

Key Responsibilities :

  • Design and implement computer vision models for object detection, classification,
  • segmentation, and tracking.
  • Preprocess, annotate, and manage large datasets including images and videos.
  • Train and fine-tune deep learning models using frameworks such as PyTorch, TensorFlow, or OpenCV.
  • Optimize model performance and deploy models into production environments.
  • Collaborate with hardware and software teams to integrate vision systems into edge or cloud platforms.
  • Conduct model evaluation, A/B testing, and performance monitoring.
  • Research and stay updated with the latest developments in computer vision and AI/ML technologies.

Required Qualifications:

  • Bachelors or Masters degree in Computer Science, Artificial Intelligence, Electrical Engineering, or related field.
  • 2+ years of experience in AI/ML with a strong focus on computer vision.
  • Proficiency in Python and deep learning frameworks (TensorFlow, PyTorch).
  • Hands-on experience with image/video processing libraries (OpenCV, PIL, scikitimage).
  • Experience with deploying models in real-time or near-real-time systems.
  • Solid understanding of model evaluation metrics and overfitting/underfitting concepts.

Preferred Skills:

  • Experience with edge deployment (e.g., NVIDIA Jetson, Coral).
  • Familiarity with ML Ops and containerization tools (Docker, Kubernetes).
  • Knowledge of cloud platforms (AWS, GCP, Azure) and related AI services.
  • Experience in 3D vision, SLAM, or AR/VR is a plus.
  • Publications or participation in relevant competitions (e.g., Kaggle, CVPR) is a bonus.

How to Apply: If you are passionate about robotics and automation and eager to join a

dynamic team that is shaping the future of manufacturing, we want to hear from you

Please submit your resume and cover letter to or Email on

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