Description

You will develop AI/ML models and automated design engines while integrating workflows into CI/CD pipelines.

This role is on-site.

Responsibilities

• Develop and maintain automated design engines and scalable model architectures.
• Create design standards and assurance processes for machine learning workflows.
• Lead technical initiatives by training junior engineers and documenting novel design techniques.
• Integrate ML workflows into CI/CD pipelines using code repositories.
• Debug complex issues focusing on object-oriented software design and algorithm optimization.

Required Skills

• 5+ years of Data Science experience.
• Strong software engineering background in C++ or Python.
• 1+ years of experience with AWS SageMaker Services.
• Experience with AWS Lambda, API Gateway, AWS Amplify, AWS Serverless, and AWS Cognito.
• Experience with AWS Security.
• Experience developing artificial and deep neural networks.
• Previous experience in an Agile environment with multi-disciplinary teams.

Preferred Skills

• Knowledge of TensorFlow or PyTorch.
• Knowledge of Convolutional Neural Networks (CNNs) or RNN/LSTMs.

Key Skills

Education

Any Gradute