Description:

Tiger Analytics is seeking experienced Machine Learning Engineers to join their advanced analytics consulting firm.
The role involves providing solutions for deploying, executing, validating, monitoring, and improving data science solutions.
Responsibilities include creating scalable and performant Machine Learning systems, building reusable production data pipelines, and writing production-quality code.
The position requires collaborating with cross-functional teams, driving current and future strategy, and ensuring business value through analytical skills.

Requirements:

Bachelor's degree or higher in computer science or related field with 5+ years of work experience.
Ability to collaborate with Data Engineers and Data Scientists, manage infrastructure and data pipelines, and maintain scalable machine learning solutions in production.
End-to-end understanding of applications, troubleshooting production machine learning model issues, and experience with Big Data Projects.
Proficiency in Python, Spark, Hadoop, Docker, ML frameworks like Scikitlearn, Tensorflow, and Keras, and Cloud environments like AWS SageMaker.
Excellent communication, teamwork skills, and expertise in statistical tools, relational databases, and programming languages.

Significant career development opportunities in a fast-growing and challenging entrepreneurial environment.
High degree of individual responsibility and the chance to work with a global team on cutting-edge analytics projects.