Role overview
Tiger Analytics is a global AI and analytics consulting firm. With data and technology at the core of our solutions, we are solving problems that eventually impact the lives of millions globally. Our culture is modeled around expertise and respect with a team-first mindset. Headquartered in Silicon Valley, you'll find our delivery centers across the globe and offices in multiple cities across India, the US, UK, Canada, and Singapore, including a
substantial remote global workforce.
We're Great Place to Work-Certified™. Working at Tiger Analytics, you'll be at the heart of an AI revolution. You'll work with teams that push the boundaries of what is possible and build solutions that energize and inspire.
We are seeking a highly skilled
MLE/MLOps Engineer
with a strong programming background and solid experience in software engineering practices. The ideal candidate will play a critical role in building and maintaining robust machine learning infrastructure, ensuring seamless integration between ML models and production systems.
What we're looking for
- Experience with Azure ML or other managed ML platforms (e.g., SageMaker, Vertex AI).
- Exposure to ML model performance monitoring and alerting tools.
- Knowledge of ML model testing, data validation, and reproducibility.
- Experience working in an Agile development environment
Benefits
This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.