Senior Data Architect

14 hours ago

Kollam, Kerala, India beBeeData Full time ₹ 25,00,000 - ₹ 45,00,000
We are currently seeking a skilled Senior Data Architect to join our team. As a Senior Data Architect, you will play a key role in designing and implementing large-scale data architectures that support business growth and innovation.

Job Description:

Our ideal candidate has expertise in applying deep learning techniques to medical image analysis, with a strong background in software engineering and data science. The successful candidate will be able to work independently and collaboratively as part of a team to design, develop, and deploy AI-powered solutions that drive business outcomes.

Responsibilities:
  • Design and implement scalable data science architectures for training, inference, and deployment pipelines.
  • Develop and implement solutions to fit business problems which may include applying algorithms from a standard statistical tool, deep learning or custom algorithm development.
  • Participate in code reviews, sprint planning, and Agile ceremonies to drive high-quality deliverables.
  • Ensure code quality, readability, and maintainability by enforcing software engineering best practices within the data science team.
  • Optimize models for production, including quantization, pruning, and latency reduction for real-time inference.
  • Drive the adoption of versioning strategies for models, datasets, and experiments (e.g., using MLFlow, DVC).
  • Contribute to the architectural design of data platforms to support large-scale experimentation and production workloads.
Requirements:
  • 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.
  • Excellent analytical and problem-solving skills with a good attitude and keen to adapt to evolving technologies.
  • Experience with medical image analysis will be an advantage.
  • Experience designing and building ML architecture components (e.g., feature stores, model registries, inference servers).
  • Solid understanding of software design patterns, microservices, and cloud-native architectures.
  • Expertise in model optimization techniques (e.g., ONNX conversion, TensorRT, model distillation)
  • Familiarization with Triton.
Preferred Qualifications:
  • BE/B Tech MS/M Tech degree in related fields (will be a bonus)
  • 3-5 years of experience in related field

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