What you will do:

• As a Machine Learning Engineer you are responsible for identifying complex problems and developing and deploying novel prototypes and algorithms to solve them.
• Improves accuracy and functionality of algorithms and understands the overall implications of the entire machine learning frameworks.
• Translates application requirements into problem statements.
• Analyzes and evaluates solutions both internally generated as well as third party supplied.
• Develops novel ways to solve problems and discover new products.
• Integrates knowledge of business and functional priorities.
• Acts as a key contributor in a complex and crucial environment.

What makes you a great fit:

• Object oriented programming with Python
• Scaling the code for an existing model
• Deploying the scaled model into production
• Identify model drifting and how to retrain a drifted model in production
• Creating CI/CD pipelines to automatically deploy the trained/retrained models into production
• Data processing, data design and modelling, deploying the model
• Proficiency with a deep learning framework such as TensorFlow or Keras
• Proficiency with Python and basic libraries for machine learning such as scikit-learn and pandas
• Experience with solving different flavours of ML problems which includes Computer vision, regression, predictions etc
• Working in public cloud providers (like GCP, AWS)
• Ability to work independently on tasks and deliver with a high-level of quality
• Ability to work in teams and be open to comments and feedback
• Ability to learn quickly and to adapt to a fast-paced environment