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What you’ll be doing...
The work you'll be doing is to support Overall Platform Rationalization at enterprise level, which is going to enhance the experience for both Data engineers /Data scientist and ML engineers to build world class Solution at scale.
As a Princ Engr-Data Engineering within the Artificial Intelligence and Data Organization (AI&D), you will be providing technical guidance to Existing ML Engineering team on PySpark and Python based model development.
Providing application design guidance to modernize existing applications or write new applications and standards for Model Deployment.
Collaborating on new application design and implementation. Additionally, you will working closely with Data science and Data Engineering team to build and constantly drive excellence in the way how we Deploy models as part of ML Engineering team.
What we’re looking for...
You will be a good thought leader with innovation in every thought, you are a good team player and having go-getter kind of attitude with good inter-personal skills. Understanding the Latest happening in ML and Model OPS area and building good work culture with onshore-offshore. Adhering to the organization priorities and policies. Building external stakeholder communication with Business user and Data scientist.
You'll need to have:
Bachelor’s degree or four or more years of work experience.
Six or more years of relevant work experience.
Five or more years of relevant work experience in developing ML Engineering pipeline
Two or More Years of experience working on ML Engineering space with knowledge on the Big data space on technologies like Hadoop, Spark, Hive, Pyspark.
Experience managing a large data ecosystem.
Two or more years of experience in Stakeholder and vendor management.
Two or more years of experience in people management, planning.
Experience driving and managing data engineering teams of highly skilled people.
Experience with cross-team collaboration, interpersonal skills/relationship building, and management.
Even better if you have:
Excellent oral and written communication skills.
Experience with Designingan operating model that fosters reuse and sharing of Reusable assets.
Experience on Datarbotot/Domino Data lab and H20 and other MLOPS tools
Experience presenting to and influencing functional leaders and stakeholders.
Exposure/experience of working on big data migration projects to Cloud (GCP).