AI/ML Engineer

·         Design, develop, and deploy scalable AI/ML solutions using Google Cloud Platform (GCP) tools such as Vertex AI, TensorFlow, AutoML, and BigQuery ML.

·         Lead end-to-end AI/ML project lifecycles, from problem definition and data ingestion to model development, evaluation, deployment, and monitoring.

·         Collaborate with cross-functional teams to integrate AIML models into production systems, ensuring reliability, scalability, and performance.

·         Apply advanced data preprocessing, feature engineering, and model optimization techniques to maximize accuracy and efficiency.

·         Leverage Google’s suite of tools for data storage, processing, and orchestration, including Dataflow, Dataproc, Pub/Sub, and Cloud Functions.

·         Stay updated on the latest developments in Google AI/ML offerings and best practices, proactively recommending and implementing improvements.

·         Mentor junior engineers and contribute to building a high-performing AIML team culture.

Required Qualifications

·         Minimum 7 years of hands-on experience in AI/ML engineering, with at least 5 years focused on Google Cloud Platform and its AIML ecosystem.

·         Expertise in Google AI/ML tools such as Vertex AI, TensorFlow, AutoML, BigQuery ML, and TFX (TensorFlow Extended).

·         Strong programming skills in Python (preferred), with experience in Java, Go, or other languages as a plus.

RoleDeveloper

Qualifications

BACHELOR OF ENGINEERING