Machine Learning Engineer

Job Description

Join a leading data-driven enterprise working at the forefront of retail innovation. As a Machine Learning Engineer, you’ll design, scale, and deploy production-grade ML solutions that solve complex business challenges and deliver tangible impact across high-traffic platforms.

This is an opportunity to work in a modern, cloud-native environment alongside top-tier Data Scientists and Engineers, using the latest in GCP technologies and orchestration tools.

What You’ll Do:

• Build, deploy, and maintain scalable ML pipelines using Google Cloud technologies.

• Develop robust data models, APIs, and predictive solutions to solve business-critical problems.

• Collaborate closely with cross-functional teams in an agile setting to deliver high-impact data products.

• Champion engineering best practices, testing frameworks, and architectural reviews to ensure quality and reliability.

• Drive innovation through continuous learning and the adoption of new technologies and frameworks.

What You’ll Bring:

• Bachelor’s degree or higher in Computer Science, Engineering, or a related field.

• 3+ years of experience in commercial software development.

• 2+ years of hands-on experience with Python, SQL, and Linux environments.

• Experience with ML orchestration tools such as Vertex AI Pipelines, Kubeflow, Argo, or Airflow.

• Proficiency with Docker or Kubernetes for containerized deployments.

• Familiarity with modern ML methods (e.g., GNNs, LLMs) and MLOps best practices.

• Exposure to microservices architecture and tools like dbt core is a plus.

Why Join?

• Be part of high-impact projects that blend data science and software engineering.

• Work in a flexible, inclusive, and innovation-focused environment.

• Access cutting-edge tools and cloud technologies.

• Grow your career with continuous learning and hands-on experience in solving real-world problems.