Description

Senior Machine Learning Engineer Job Responsibilities include:

Design, develop, and maintain scalable ML data pipelines for batch and real-time processing on Google Cloud Platform.

Implement and optimize MLOps workflows, including model deployment, monitoring, and continuous learning.

Ensure data quality, governance, and lineage while managing large-scale connected vehicle datasets.

Collaborate with cross-functional teams to deliver data products and support AI/ML-driven business initiatives.

Automate infrastructure and deployments using Terraform, CI/CD pipelines, and DevOps best practices.

Monitor and troubleshoot production pipelines, improving performance, reliability, and cost efficiency continuously.

Required Qualifications:

Bachelor’s or master’s degree in computer science, Data Engineering, Machine Learning, or a related field.

4+ years of experience in data engineering, MLOps, or cloud-based data solutions.

Strong hands-on expertise in Google Cloud Platform (BigQuery, Pub/Sub, Dataflow) and building scalable data/ML pipelines using Python, SQL, and streaming frameworks.

Proven experience in MLOps, CI/CD, and DevOps practices (Terraform, Docker, GitHub), with strong knowledge of data governance, pipeline monitoring, and production support

Key Skills

Education

Any Graduate