Job Description

Job Title

: AI/ML Engineer - Computer Vision (Onsite/Office Project)

Location

: Baner, Pune

Employment Type

: Full- Time

Experience Level

: 2-3+

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 Master's degree in Computer Science, Artificial Intelligence, Electrical Engineering, or related field. 3+ 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, scikit-image). 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 7972819781 or Email on hr@muksrobotics.com.
Job Type: Full-time

Pay: ?486,270.18 - ?1,705,192.62 per year

Work Location: In person