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Senior Machine Learning Engineer

2 weeks ago

Thāne, Maharashtra, India beBeeData Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Job Title: Senior Data Scientist

We are seeking an experienced and talented Data Scientist to join our team. As a senior data scientist, you will play a key role in developing and implementing AI and machine learning models to drive business growth and improve customer experience.

About the Role:

  • Selecting features, building and optimizing classifier engines using deep learning techniques.
  • Understanding the problem and applying suitable image processing techniques.
  • Use techniques from artificial intelligence/deep learning to solve supervised and unsupervised learning problems.
  • Designing solutions for complex problems related to medical image analysis by using Deep Learning/Object Detection/Image Segmentation.
  • Implementing best practices around the application of statistical modeling.
  • Creating, training, testing, and deploying various neural networks to solve complex problems.
  • Developing and implementing solutions to fit business problems which may include applying algorithms from a standard statistical tool, deep learning or custom algorithm development.
  • Designing solutions and architecture in accordance with requirements.
  • Participating in code reviews, sprint planning, and Agile ceremonies to drive high-quality deliverables.
  • Designing and implementing scalable data science architectures for training, inference, and deployment pipelines.
  • Ensuring code quality, readability, and maintainability by enforcing software engineering best practices within the data science team.
  • Optimizing models for production, including quantization, pruning, and latency reduction for real-time inference.
  • Driving the adoption of versioning strategies for models, datasets, and experiments (e.g., using MLFlow, DVC).
  • Contributing 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 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.

Bonus Requirements:

  • BE/B Tech MS/M Tech
  • 3-5 Years Experience