Machine Learning Engineer

Summary

Join Tiger Analytics, a leading advanced analytics consulting firm, as a Machine Learning Engineer. This fully remote position offers the opportunity to collaborate with cross-functional teams, design and deploy ML models using Google Cloud Platform (GCP) and Vertex AI, and develop scalable AI/ML applications. You will leverage GCP services to build end-to-end machine learning pipelines and optimize models for performance. The ideal candidate possesses strong GCP and Vertex AI expertise, proven model development and deployment skills, and API development experience. Significant career development opportunities are available within this fast-growing company.

Requirements

• Google Cloud Platform (GCP) Experience: Strong proficiency in GCP services, including data engineering and machine learning tools
• Google Vertex AI Expertise: Hands-on experience with model training, deployment, and optimization using Vertex AI
• Model Development & Deployment: Proven ability to design, build, and productionize machine learning models
• API Development: Skilled in developing robust APIs for seamless integrations
• Python Programming with CI/CD: Experience in Python-based applications and implementing CI/CD pipelines

Responsibilities

• Collaborate with cross-functional teams to design and deploy ML models
• Develop reusable, scalable code for AI/ML applications
• Leverage GCP services to build end-to-end machine learning pipelines
• Optimize models for performance and scalability using Vertex AI

Benefits

• Work remotely while contributing to cutting-edge projects
• Collaborate with a dynamic team passionate about AI/ML innovation
• Opportunity to work with the latest Google Cloud technologies
• Significant career development opportunities exist as the company grows
• The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility