Salary
≈ $20k – $45k per year (Estimated)
Location
In office (Pune)
Seniority
Senior · 5+ years exp
Employment
Full-Time
Confirmed on the employer's own hiring board on Oct 15, 2026. First seen by Alion on Oct 15, 2026.
Overview
Company
Impact
Profile match
AI/ML Developer (with Computer Vision Expertise)
Experience Required: 5+ Years
Location: Pune
Employment Type: Full-time
Job Summary:
We are looking for a passionate AI/ML Developer with over 5+ years of experience, including hands
on expertise in Computer Vision Engineering. The ideal candidate will design, develop, and deploy
machine learning models and computer vision solutions to solve real-world problems across various
domains.
Key Responsibilities:
- Develop and implement machine learning and deep learning models.
- Design and deploy computer vision algorithms for image classification, object detection,
segmentation, OCR, and video analytics.
- Pre process and annotate image/video datasets for training and evaluation.
- Collaborate with cross-functional teams to integrate AI/ML solutions into production
systems.
- Optimize models for performance, scalability, and accuracy.
- Stay updated with the latest research and advancements in AI/ML and computer vision.
- Document model architecture, training procedures, and deployment workflows.
Requirements
Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related
field.
- 5+ years of experience in AI/ML development, with at least 3+ year in computer
vision projects.
- Proficiency in Python and ML libraries such as TensorFlow, PyTorch, OpenCV, and scikit-learn.
- Experience with image processing, feature extraction, and deep learning architectures (CNNs,
GANs, etc.).
- Familiarity with cloud platforms (AWS, Azure, GCP) and deployment tools (Docker,
Kubernetes).
- Strong understanding of data structures, algorithms, and statistics.
- Experience with version control (Git) and collaborative development tools.
Preferred Skills:
- Experience with real-time video processing and edge deployment.
- Knowledge of 3D vision, SLAM, or AR/VR technologies.
- Familiarity with annotation tools and dataset management platforms.
- Strong problem-solving and analytical skills.
- Excellent communication and teamwork abilities.
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