Machine Learning Engineer – Computer Vision
Not sure if you're a good fit?
Upload your resume and TixelJobs AI will compare it against Machine Learning Engineer – Computer Vision at Nexasprint Technologies Private Limited. Get a match score, missing keywords, and improvement tips before you apply.
Free preview · Your resume stays private
About the Role
Job Title: Machine Learning Engineer – Computer Vision
Location: Pune
Experience: 4–6 Years
Employment Type: Full-Time
Industry: Automotive Manufacturing / AI / Computer Vision
About the Role
We have recently won a large-scale Machine Learning project with a leading vehicle Manufacturer. We are seeking a highly skilled Machine Learning Engineer to design and deploy advanced defect detection solutions using Computer Vision and Deep Learning techniques in a manufacturing environment.
You will work on real-world industrial inspection systems involving image/video data from production lines, ensuring high-accuracy detection of surface, structural, and assembly defects.
Key Responsibilities
- Design, develop, and deploy ML/DL models for automated defect detection.
- Build end-to-end computer vision pipelines (data preprocessing → model training → validation → deployment).
- Work with image datasets from production lines (high-resolution industrial cameras).
- Develop and optimize CNN-based models (classification, detection, segmentation).
- Improve model performance using data augmentation and advanced techniques.
- Deploy models on edge devices or cloud infrastructure.
- Collaborate with manufacturing, quality, and data engineering teams.
- Monitor model performance and retrain as needed.
- Document technical designs and maintain best coding practices.
Required Skills & Qualifications
- Bachelor’s/Master’s in Computer Science, AI, Data Science, or related field.
- Strong experience in Python.
- Hands-on experience with:
- TensorFlow / PyTorch
- OpenCV
- Scikit-learn
- NumPy, Pandas
- Experience with:
- Object Detection models (YOLO, Faster R-CNN, SSD)
- Image Segmentation (U-Net, Mask R-CNN)
- CNN architectures
- Experience handling imbalanced datasets.
- Strong understanding of model evaluation metrics (Precision, Recall, F1, mAP).
- Experience deploying models via REST APIs or edge devices.
- Knowledge of MLOps concepts (CI/CD for ML models) is a plus.
Preferred Qualifications
- Experience in automotive or manufacturing defect detection.
- Knowledge of edge AI deployment (NVIDIA Jetson, ONNX, TensorRT).
- Familiarity with cloud platforms (AWS / Azure / GCP).
- Experience working with real-time image processing systems.
Job Types: Full-time, Permanent
Pay: ₹900,000.00 - ₹1,500,000.00 per year
Benefits:
- Health insurance
Work Location: In person
Ready to apply?
This job is active. Apply now to get in early.
Similar Jobs
Computer Vision Engineer
Vardera
Machine Learning Engineer – Computer Vision & Multimodal AI
MYL Instruments
AI Engineer (Perception & Edge AI Systems Engineer) (gn) @ Autonomous Navigation Venture, Belgium
Atlantic
Computer Vision Engineer (AI/ML Agri-Domain)
AgroNest Ventures Private Limited