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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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