Data Graph ML Platform Engineer

This role focuses on designing, building, and maintaining robust and scalable machine learning platforms and data graph solutions. The ideal candidate will possess a strong understanding of data engineering principles, machine learning workflows, and graph database technologies, contributing to the development of innovative solutions that leverage data to drive business insights.

Key Responsibilities:

Design and implement data pipelines for ingesting, transforming, and storing large datasets.
Develop and maintain machine learning platforms and infrastructure.
Build and optimize graph databases for efficient data storage and retrieval.
Collaborate with data scientists and engineers to deploy and monitor machine learning models.
Ensure data quality and integrity across all platforms.
Troubleshoot and resolve issues related to data pipelines and machine learning infrastructure.

Requirements/Qualifications:

Experience in data engineering and machine learning.
Proficiency in programming languages such as Python.
Experience with graph database technologies (e.g., Neo4j, Amazon Neptune).
Strong understanding of data warehousing and ETL processes.
Experience with cloud platforms (e.g., AWS, Azure, GCP).
Excellent problem-solving and communication skills.

About the Company:

Pinnacle Info Services is a technology solutions provider specializing in delivering innovative services to a diverse range of industries. The company focuses on helping clients leverage technology to achieve their business goals and improve operational efficiency.