AI Engineer with Generative AI Skills
Tiger Analytics
About the role
About
Join Tiger Analytics as an AI Engineer, focusing on generative AI and machine learning solutions. Drive impactful analytics for Fortune 500 companies while working in an innovative environment.
At Tiger Analytics, you will bring over 8 years of AI/ML industry experience to build agentic systems and scalable machine learning applications. Your expertise will enable effective data management and model evaluation, ensuring high-performance solutions for business challenges. Collaborate across teams to enhance strategic initiatives using advanced data engineering methods.
Leverage your machine learning expertise to drive transformations at Tiger Analytics.
Responsibilities
- Develop MLE solutions for deployment and monitoring
- Create scalable systems for machine learning projects
- Design production data pipelines efficiently
- Write maintainable code and packaging solutions
- Align with business goals through analytical collaboration
Requirements
- Strong Python skills, ideally with familiarity in C++
- Expertise in Agentic AI frameworks and NLP
- Experience with Tensor Flow, PyTorch, and Scikit-learn
- Knowledge of AWS and Google Cloud platforms
- Proficient using Git Hub and Docker for development
Skills
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