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ML Developer (with Computer Vision)

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Onsite

ML Developer (with Computer Vision)

Ncircle Tech

ML Developer (with Computer Vision)

Skills

Google Cloud PlatformDeep LearningDockerPythonData SciencePyTorchTensorFlowGitData AnalysisMachine LearningAIAWSKubernetesAzure

1 month ago

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Important information


Contract type:

Permanent

Location:

Pune, Maharashtra, India

Work mode:

Onsite

Published on:

14 September 2026

What they need


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.

Experience required: 5+ years. Location: Pune. Employment type: Full-time.

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

  • Bachelors or Masters 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.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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