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[Qualifications]

• Bachelors or Master s in Computer Science, Engineering, Mathematics or related.
• 3+ years of experience with ML libraries frameworks, DNN model development, data visualization preparation, advanced python programming, etc.

• [Job Overview]:

• Sony is looking for a Machine Learning engineer who has strong knowledge and experience in design and development of CNN models according to business objectives.
• In this role, the candidate must analyse the requirements, prepare design and implement software solutions. This requires a sound understanding of ML fundamentals, libraries frameworks, end-to-end ML development pipeline.

[Primary Skills]:

[Mandatory Request] Confirm that only industry experience is listed, and all academic/training projects are removed from the CV .

• Design and development of CNN models according to the business objective, along with metrics to track their progress.
• Optimize the CNN models in terms of trainable parameters and MAC operations to meet the target platform.
• Debug the intermediate as well as final layer output of trained model using various explainable AI methods.
• Extend existing ML libraries and frameworks to support missing layers or other features.
• Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world
• Verifying data quality, and/or ensuring it via data cleaning
• Supervising the data acquisition process if more data is needed
• Defining the pre-processing or feature engineering to be done on a given dataset
• Defining data augmentation pipelines
• Training models and tuning their hyperparameters
• Analysing the errors of the model and designing strategies to overcome them
• Advanced Python Programming
• Image processing (using OpenCV).
• Keras, TensorFlow

[Good to have Skills]:

• Deep knowledge of math, probability, statistics and algorithms
• CNN Development (Advanced)
• OOPS concepts

[Responsibilities and Duties]:

• Analyse customer requirements
• Design and Implement features requested by customer
• Verify finetune solution (model) and artefacts
• Validation of quality as per requirements