Overview

We are seeking, on behalf of our client, a highly skilled Machine Learning Engineer to design, build, and deploy end-to-end ML pipelines in a cloud-native environment. You will work closely with Data Engineers and Cloud/DevOps Engineers to operationalize models, ensuring they are scalable, observable, and seamlessly integrated into production systems.

Responsibilities

• Design, implement, and maintain ML pipelines on GCP using tools like Vertex AI, Kubeflow, or MLflow.
• Collaborate with Data Engineers to source, preprocess, and validate high-quality training data from BigQuery, PostgreSQL, and cloud-native storage.
• Deploy, monitor, and optimize models in production environments, ensuring reliability, scalability, and cost efficiency.
• Automate ML workflows with CI/CD pipelines and Infrastructure-as-Code (Terraform, ArgoCD).
• Implement observability and monitoring for ML systems (drift detection, performance metrics, alerting).
• Work with product and analytics teams to translate business problems into ML solutions.
• Document processes, pipelines, and model governance for reproducibility and compliance.

Requirements

• 3+ years of experience as an ML Engineer or similar role (MLOps, Data Science with strong engineering background).
• Proficiency with Python and ML frameworks (TensorFlow, PyTorch, scikit-learn).
• Experience with cloud-native ML platforms (Vertex AI, SageMaker, or Kubeflow).
• Strong knowledge of data pipelines, feature stores, and model versioning.
• Familiarity with CI/CD, Git, Terraform, and container orchestration (Kubernetes/GKE).
• Understanding of observability for ML systems (logging, metrics, tracing, model drift).
• Bonus: experience with real-time ML/streaming data (Kafka, Pub/Sub) or responsible AI practices.

Job details

• Duration: 6 months (extendable based on project needs)
• Location: Remote
• Engagement: Contract
• Seniority level: Mid-Senior level
• Employment type: Contract
• Job function: Engineering and Information Technology
• Industries: Staffing and Recruiting