ML Engineer with Google Cloud Platform (FTE)

Overview

On Site
$90,000+
Full Time

Skills

Machine Learning
GCP
Python
SQL
Vertex AI
BigQuery
Dataflow
Cloud Functions
Cloud Storage
supervised/unsupervised learning
deep learning
generative AI
CI/CD for ML
model versioning
monitoring
retraining
Apache Beam
Spark
Dataproc
ML Systems

Job Details

Min. Exp 12+ yrs

Job Description:

Role Overview: Machine Learning Engineer Google Cloud Platform

A Machine Learning Engineer specializing in Google Cloud Platform is responsible for developing, deploying, and optimizing machine learning models using Google Cloud s suite of AI and data tools. This role blends deep technical expertise with cloud-native development practices to deliver intelligent, scalable solutions across industries.

Key Responsibilities

* Design and build ML models using Google Cloud Platform tools such as Vertex AI, BigQuery ML, and TensorFlow.

* Develop and automate ML pipelines with Dataflow, Kubeflow, and Cloud Composer.

* Prepare and process large datasets using BigQuery, Dataproc, and Cloud Storage.

* Deploy and monitor models in production environments using Vertex AI and MLOps best practices.

* Collaborate with cross-functional teams including data engineers, software developers, and product managers.

* Ensure responsible AI practices by incorporating fairness, explainability, and governance into model design.

* Optimize performance and cost-efficiency of ML workloads on Google Cloud Platform.

Required Skills & Qualifications

* Strong programming skills in Python and SQL.

* Experience with Google Cloud Platform services: Vertex AI, BigQuery, Dataflow, Cloud Functions, Cloud Storage.

* Understanding of ML concepts: supervised/unsupervised learning, deep learning, generative AI.

* Familiarity with MLOps: CI/CD for ML, model versioning, monitoring, and retraining.

* Knowledge of data engineering tools: Apache Beam, Spark, Dataproc.

* Bachelor s or Master s degree in Computer Science, Data Science, or related field.

* Google Cloud Professional ML Engineer certification is a strong plus Cloud Ski... +1.

Preferred Attributes

* Experience with generative AI and foundational models.

* Ability to scale prototypes into production-grade ML systems.

* Strong communication and stakeholder management skills.

* Passion for continuous learning and innovation in AI.

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