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Data and MLOps Engineer

4 months ago

Bengaluru, India Continental Full time
Job Description

Work with Data Scientists, Machine Learning experts and Business stakeholders to design cloud-based, highly available Data Infrastructure for AI Workload.Design the architecture of and implement cloud-based Data infrastructure / ETL pipelines according to best practices.Proactively identify and automate manual data processesImplement release processes, workflows, and live deployments in complex IT environmentsEnsuring Post-release application stability and conducting post-mortem of failed routinesImplement processes for Continuous integration, Test automation and Deployment (CI/CD Pipelines)Supporting prototyping activities and driving minimum viable products (MVP)Understand and translate business and application specific needs into technical requirementsConsolidating complex data environments consisting of multiple data sources and formatsProvide quality documentation of your design (process and workflows) and implementation including experiment tracking / logs.Take responsibility of end-to-end development of a module, work independently and where required take initiative to collaborate.

Qualifications

Academic Degree in Informatics, Computer Science or comparable qualificationStrong programming experience with Python or CPP.Project based practical experience of working with Amazon Web Services (AWS) technologies.Practical experience based on previous projects with continuous integration, continuous deployment and test automation in architectures (eg. Jenkins, GitHub Actions).Project based hands-on experience of container and DevOps technologies such as Git, Docker, Kubernetes, KubeFlowExperience with data analytics tools such as Power BI or Tableau.SQL, NoSQLNice to have: Hadoop, Spark, Spark Streaming, Presto, Hive, Crontab, AirflowExperience in Agile development methods (Scrum, Kanban)Excellent communication skills and capability to present technological concepts coherently to the business and innovation process

Additional Information