Sr. AI/ ML Engineer

2 days ago


Bengaluru, Karnataka, India Prime Search Full time ₹ 15,00,000 - ₹ 20,00,000 per year

Position: Sr. AI/ML Engineer (OCR Solutions)

Exp: 5+ years

Location: Remote

Salary: up to 40 LPA

~ Notice Period should be max. 1 month

Key Responsibilities:

  • Build and improve OCR solutions capable of handling diverse languages, scripts, and complex layouts.
  • Train, fine-tune, and deploy machine learning models for text recognition across multiple languages and character sets, including low-resource languages.
  • Evaluate & Improve Accuracy: Implement model evaluation metrics to continuously improve the accuracy and performance of OCR systems.
  • 5Scaling OCR Solutions: Design scalable OCR models that can efficiently handle large volumes of data in real-time applications. Focus on optimizing model performance for both cloud-based and edge environments.
  • Collaboration: Work with cross-functional teams, including product managers, software engineers, and UX designers, to integrate OCR functionality into products.
  • Deployment & Scalability: Ensure that the OCR models are scalable and optimized for deployment in production environments (cloud and edge devices). Implement and manage CI/CD pipelines for smooth deployment.

Requirements:

  • Experience in AI/ML engineering with at least 3 years of experience in building OCR solutions.
  • Expertise: Strong knowledge of OCR technologies, including Tesseract, EasyOCR, PaddleOCR, or custom deep learning-based OCR systems
  • Languages: Experience with multiple languages and character sets (e.g., Latin, Cyrillic, Chinese, Japanese, Arabic, Devanagari, etc.)
  • Deep Learning: Proficiency with machine learning frameworks like TensorFlow, PyTorch, Keras, or MXNet
  • NLP Skills: Experience in natural language processing (NLP) techniques for post-processing OCR outputs.
  • Programming Languages: Strong programming skills in Python and familiarity with ML libraries (scikit-learn, OpenCV, etc.).
  • Proven experience in scaling AI/ML models for production environments and containerizing applications using Docker for easier deployment and scalability.
  • Cloud & DevOps: Experience deploying OCR models in cloud environments (AWS, GCP, or Azure) and working with CI/CD pipelines.

Preferred Qualifications:

  • Experience with low-resource or less common languages.
  • Familiarity with handwriting recognition and scene text recognition.
  • Knowledge of transformer-based models like Vision Transformers (ViTs) or hybrid approaches.
  • Experience with Docker, Kubernetes, and container orchestration for AI/ML model deployment.
  • Contributions to open-source OCR projects

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