Remote Machine Learning Engineer

Description:

• Tiger Analytics is seeking experienced Machine Learning Engineers to join their advanced analytics consulting firm.
• The firm specializes in Machine Learning, Data Science, and AI, serving multiple Fortune 500 companies.
• The role involves providing solutions for the deployment, execution, validation, monitoring, and improvement of data science solutions.
• Responsibilities include creating scalable Machine Learning systems that are highly performant and building reusable production data pipelines for implemented machine learning models.
• The position requires writing production-quality code and libraries that can be packaged as containers for installation and deployment.
• Collaboration with cross-functional teams and business partners is essential to drive strategy and ensure business value.

Requirements:

• A Bachelor's degree or higher in computer science or a related field, with at least 6 years of work experience is required.
• Candidates must have the ability to collaborate with Data Engineers and Data Scientists to build data and model pipelines and run machine learning tests and experiments.
• The role requires managing the infrastructure and data pipelines necessary for deploying ML solutions in production.
• An end-to-end understanding of applications being created is essential.
• Candidates should be able to maintain scalable machine learning solutions in production and abstract the complexity of production using containers.
• Troubleshooting production machine learning model issues, including recommendations for retraining and revalidation, is necessary.
• Experience with Big Data Projects involving structured and unstructured data is required.
• The ability to work with a global team and communicate problem context to remote teams is important.
• Excellent communication and teamwork skills are essential.

Benefits:

• This position offers significant career development opportunities in a fast-growing and challenging entrepreneurial environment.
• Employees will experience a high degree of individual responsibility in their roles.