• Significant experience with AWS cloud and good understanding of ML tools from other platforms.

• Knowledge on ML model development and experience in ML model life cycle management.

• Experience in building large scale data processing and ML pipelines.

• Knowledge/experience in applying machine learning techniques and algorithms.

• Experience in Docker, AWS ECS, Sagemaker, s3, Athena, Step function, ELK, AWS Code pipeline is

essential. any certifications in the related tools or platforms will be viewed favourably.

• Experience in provisioning the resources using IaC in cloud platforms.

• Experience in Containerizing the ML models.

• Experience in use of Data Science modelling tools e.g., R, Python and Data Science notebooks

(eg.Jupyter, Zeppelin notebooks).

• Experience in identifying areas where manual tasks can be automated.

• Experience in collaborating with cross-functional teams.

• Good verbal and written skills.