Machine Learning Engineer who has worked on building and deploying machine learning solutions at scale and the person should have hands-on experience in writing effective and scalable python code.

Role Responsibilities –

• Responsible for designing and implementation of end to end AI/ML framework/tools.
• Expert hands-on in Azure Machine Learning studio
• Develop and deploy architectures through product engineering and existing model deployment tools
• Establish and implement engineering excellence guidelines for the team.
• Hands-on development on Machine Learning infrastructure and collaborate with Data Scientists to optimize ML models for high throughput and low-latency use cases
• Experience in microservices architecture implementation.
• Work with our data platform and feature teams to help them successfully integrate the python codes and ML models
• Build tools and automation to improve systems availability, reliability, performance, monitoring and scalability.
• Integrate ML model training, inferencing into Data pipelines.