AI/ML Engineer working on machine learning lifecycle tasks and collaborating with teams in Chennai, India.
Responsibilities
Collaborate with data scientists, Data engineers, and other stakeholders to understand data needs and deliver solutions aligned with business objectives, security, and data governance.
Operationalize machine learning models by building data infrastructure and managing structured and unstructured data, supporting AI/ML/LLM workflows, including data labeling, classification, and document parsing.
Document data processes, pipeline designs, and architecture, contributing to knowledge transfer and system maintenance.
Monitor and troubleshoot data pipelines and systems to identify and resolve issues related to performance, reliability, and cost-effectiveness.
Requirements
2+ years’ experience
GCP Expertise: Strong proficiency in GCP services, including BigQuery, Dataflow, Dataproc, Data Fusion, Air Flow, Pub/Sub, Cloud Storage, Vertex AI, Cloud Functions, and Cloud Composer, GCP based Big Data deployments (Batch/Real-Time) leveraging Big Query, Big Table
Programming & Scripting: Expert-level skills in Python and SQL are essential.
DevOps & MLOps: Knowledge of DevOps methodologies, CI/CD pipelines, and MLOps practices, including integrating data pipelines with ML workflows.
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