MLOps / DevOps Engineer

About the role

Warehousing and logistics systems play an increasingly critical role in contributing to the competitiveness of many companies and, at the same time, to the effectiveness of the general world economy.

What you'll do

• Develop end-to-end ML pipelines encompassing the ML lifecycle from data ingestion, data transformation, model training, model validation, model serving
• Collaborate closely with AI scientists to accelerate productionization of ML algorithms
• Setup CI/CD/CT pipelines for ML algorithms
• Deploy models as a service both on-cloud and on-prem

What you need

• 10–12 yrs of experience
• CI/CD
• Linux
• Docker
• Kubernetes
• MLOps
• GCP
• M.Sc

Good to have

• Python
• SQL
• Java
• Spark
• Pandas
• Kafka