Principal AI Engineer

7 days ago

Ellore, Andhra Pradesh, India beBeeData Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Job Title: Senior Data Scientist

Job Description

We are seeking a seasoned data scientist to join our team and contribute to the development of innovative solutions in medical image diagnostics. The ideal candidate will have a strong background in deep learning, artificial intelligence, and computer vision, with experience in applying these techniques to real-world problems.

The successful candidate will be responsible for designing and implementing scalable data science architectures for training, inference, and deployment pipelines. They will also be expected to participate in code reviews, sprint planning, and Agile ceremonies to drive high-quality deliverables.

In addition to their technical expertise, the candidate should possess excellent analytical and problem-solving skills, with a keen ability to adapt to evolving technologies.

Required Skills and Qualifications:

  • Strong software engineering skills in Python (or other languages used in data science) with emphasis on clean code, modularity, and testability.
  • Excellent understanding and hands-on of Deep Learning techniques such as ANN, CNN, RNN, LSTM, Transformers, VAEs etc.
  • Must have experience with Tensorflow or PyTorch framework in building, training, testing, and deploying neural networks.
  • Experience in solving problems in the domain of Computer Vision.
  • Knowledge of data, data augmentation, data curation, and synthetic data generation.
  • Ability to understand the complete problem and design the solutions that best fit all the constraints.
  • Knowledge of the common data science and deep learning libraries and toolkits such as Keras, Pandas, Scikit-learn, Numpy, Scipy, OpenCV etc.
  • Good applied statistical skills, such as distributions, statistical testing, regression, etc.
  • Exposure to Agile/Scrum methodologies and collaborative development practices.
  • Experience with the development of RESTful APIs.
  • The knowledge of libraries like FastAPI and the ability to apply it to deep learning architectures is essential.
  • Expertise in model optimization techniques (e.g., ONNX conversion, TensorRT, model distillation)

Education: BE/B Tech MS/M Tech (will be a bonus)

Experience: 3-5 Years

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