Machine Learning Engineer

Job Description:

Machine Learning Engineer who has worked on building and optimizing 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, implementation, scalable & optimization of end to end AI/ML usecases
Python Expert in developing the backend code.
Establish and implement engineering excellence guidelines for the team.
Hands-on development on Machine Learning code and collaborate with Data Scientists to optimize ML models for high throughput and low-latency use cases
Work with our AI 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.

Requirements:

Excellent hands on coding skills on Python and basics of Pyspark.
Good understanding on the ML Models.
Experience in Azure Machine Learning.
Experience in Azure data lake, Blob storage, SQL or any database etc.
Knowledge about Azure Kubernetes Services would be added advantage
Good to have experience in Azure cloud
Knowledge source code management tools (git)
Always ready to learn more and adopt new cutting edge technology with right value proposition.

Skills:

• GIT
• GIT
• Python
• Artificial Intelligence