Description:

Tiger Analytics is seeking experienced Machine Learning Engineers to join their advanced analytics consulting firm.
The company is a trusted analytics partner for Fortune 500 companies, helping them derive business value from data.
The role involves deploying, executing, validating, monitoring, and improving data science solutions.
Responsibilities include building scalable and performant Machine Learning systems, creating production data pipelines, and writing high-quality code.
Collaboration with cross-functional teams and driving current and future strategies using analytical skills are key aspects of the role.

Requirements:

Bachelor's degree or higher in computer science or related field with at least 5 years of work experience.
Ability to collaborate with Data Engineers and Data Scientists to build data and model pipelines, run machine learning tests, and manage infrastructure for ML solutions.
End-to-end understanding of applications, maintaining scalable ML solutions in production, and troubleshooting model issues.
Experience with Big Data Projects, working with global teams, and strong communication and teamwork skills.
Additional skills required include proficiency in Python, Spark, Hadoop, Docker, ML frameworks like Scikitlearn, Tensorflow, and Keras, as well as knowledge of MLflow, Airflow, Kubernetes, and Cloud environments like AWS SageMaker.

The position offers significant career development opportunities in a fast-growing and challenging entrepreneurial environment with a high level of individual responsibility.