Remote Machine Learning Engineer

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.

Benefits:

• 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.