Machine Learning Engineer - Remote

Overview

We’re looking for a Machine Learning Engineer with strong experience in Google Cloud Platform (GCP) to support a fast-paced, 12-week engagement focused on migrating an existing sales forecasting model to modern, scalable infrastructure using native GCP services like Vertex AI, BigQuery, Dataflow, and Composer.

In Short

• Transition an existing sales forecasting model to GCP using Vertex AI.
• Use Dataflow for data transformations and Composer for orchestration.
• Integrate and query large-scale datasets with BigQuery.
• Ensure new infrastructure is reliable and automated.
• Collaborate closely with data scientists and stakeholders.
• 4+ years of experience in ML engineering or data science.
• Hands-on expertise with GCP services.
• Strong Python skills and familiarity with ML libraries.
• Experience productionizing ML models.
• Excellent communication skills.

Requirements

• 4+ years of professional experience in ML engineering or data science roles.
• Hands-on expertise with GCP native services: Vertex AI, BigQuery, Dataflow, Composer.
• Strong Python skills and familiarity with modern ML libraries (e.g., scikit-learn, TensorFlow).
• Experience productionizing ML models and building robust data pipelines.
• Strong problem-solving skills and ability to work independently.
• Excellent communication skills and a collaborative mindset.

Benefits

• USD Salary Compensation.
• 100% Remote Work – Work from anywhere!
• A High-Impact Project – Make a difference in 12 weeks.
• Cross-Functional Exposure – Collaborate with various stakeholders.
• Career Visibility – Work with an agile consultancy.