Tiger Analytics is looking for Machine Learning Engineers to help Fortune 100 companies generate business value from data by building and deploying scalable AI solutions.
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.
Other
- 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.
