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Job Description
Structured overview of role & requirementsAbout This Role
Design and build scalable services and automation tools to support machine learning model deployment and evaluation.
Maintain and improve production data systems handling large volumes of data (over 1 trillion events per day).
Collaborate with product managers, data scientists, and engineers to deliver internal and external data solutions.
Minimum Requirements
Bachelor's degree in Computer Science or related field.
7+ years of relevant work experience in data engineering or related fields.
Experience with AWS, Python, Golang, Kafka, Airflow, Docker, Linux, Kubernetes, or similar technologies.
Strong knowledge of distributed system design, CI/CD practices, and handling large data volumes.
Ideal Candidate Profile
Experienced in building automated and scalable data infrastructure and pipelines for machine learning.
Capable of working cross-functionally with data scientists and engineering teams in a fast-paced environment.
Familiarity with AI technologies applied to improve workflows and business outcomes in data-intensive settings.