FastTek Global / Find Work USA

Chennai, Tamil Nadu

Machine Learning Engineer #1065691
Position Description:

Design, train, and deploy ML models for data-quality anomaly detection and for attribution / signal generation on service and repair-order data
Build and maintain ML pipelines on GCP (Vertex AI, BigQuery ML) and integrate ML outputs back into DBT models and the DCDS data-quality scorecard
Champion MLOps best practices — model versioning, reproducible experiments, drift/quality monitoring, and documented feature engineering
Partner with Product Owners, Analytics, and Service Engineering to define ML use cases tied to business outcomes and present clear go/no-go recommendations
Design and build ETL/ELT pipelines on GCP to ingest, transform, and load Ford's dealer data into the data warehouse at scale
Develop and maintain DBT models for transformation, testing, and documentation; apply warehouse-first patterns for the "store 100% of dealer data" approach
Orchestrate pipelines using Astronomer / Airflow — robust DAGs with alerting, retry logic, and SLA monitoring
Exhibit good software engineering and design practices, analytical skills in resolving issues, and documentation
Comfortable with DevOps, CI/CD, Pair Programming, and TDD
Participate in Agile ceremonies and PI Planning; deliver high-quality products on-time

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