MLOps Engineer JD

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.

Full time