AI/ML Engineer - New York City, NY (Hybrid Model)

Position : AI/ML Engineer
Location: New York City, NY (Hybrid Model)
Duration: Long-Term Contract

AI/ML Engineer

We are seeking an experienced AI/ML Engineer to design, develop, and deploy scalable machine learning models and pipelines on Google Cloud Platform (Google Cloud Platform). The ideal candidate will have strong hands-on experience with Vertex AI, BigQuery ML, AutoML, and TensorFlow Extended (TFX), and will collaborate with cross-functional teams to deliver production-ready ML solutions.

• Design and implement scalable ML models using Google Cloud Platform services such as Vertex AI, BigQuery ML, AutoML, and AI Platform.

• Build and maintain end-to-end ML pipelines using Vertex AI Pipelines, Kubeflow, and TFX.

• Work closely with data scientists, data engineers, and product teams to convert business needs into ML-based solutions.

• Optimize model performance and manage the entire model lifecycle including training, evaluation, deployment, and monitoring.

• Apply MLOps best practices for CI/CD, versioning, and monitoring of ML workflows.

• Integrate ML models into production systems using Cloud Functions, Cloud Run, or GKE.

• Ensure scalability, reproducibility, and security of ML workflows using Google Cloud Platform-native tools.

• 5+ years of experience as an AI/ML Engineer or related role.

• Hands-on experience with Vertex AI, BigQuery ML, AutoML, TensorFlow, and Kubeflow.

• Strong understanding of MLOps principles and experience building ML pipelines.

• Proficiency in Python and libraries such as TensorFlow, PyTorch, and Scikit-learn.

• Experience deploying and managing ML models in production environments.

• Solid understanding of cloud infrastructure, data pipelines, and security practices.