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Sr. Staff AI/Machine Learning Engineer - Remote

Posted Yesterday
Software Development
Full Time
USA

Overview

This position is posted by Jobgether on behalf of Flex. We are currently looking for a Sr. Staff AI/Machine Learning Engineer in the United States.

In Short

  • Lead the development and deployment of advanced AI and machine learning systems.
  • Drive the full ML lifecycle from research to production deployment.
  • Collaborate with data scientists, engineers, and product teams.
  • Translate complex business problems into actionable ML solutions.
  • Build and optimize ML systems and data pipelines.
  • Monitor and enhance model performance through experimentation.
  • Implement state-of-the-art AI/ML tools and frameworks.
  • Champion responsible AI practices focusing on fairness and explainability.
  • Stay current with emerging trends in AI and machine learning.

Requirements

  • Proven experience in AI and machine learning engineering.
  • Strong programming skills in Python and relevant ML libraries.
  • Experience with MLOps and deployment of ML models.
  • Ability to work collaboratively in a cross-functional team.
  • Strong understanding of data pipelines and feature engineering.
  • Experience with hyperparameter tuning and model optimization.
  • Knowledge of responsible AI practices and methodologies.
  • Excellent communication and problem-solving skills.

Benefits

  • Opportunity to shape the future of AI-driven financial technology.
  • Work in a fast-paced, high-growth environment.
  • Collaborate with innovative teams and cutting-edge technologies.
  • Competitive salary and comprehensive benefits package.
  • Flexible working arrangements.

Jobgether

Jobgether

Jobgether is a global platform dedicated to connecting job seekers with fully remote job opportunities. The company focuses on matching candidates to roles where they are most likely to succeed, providing valuable feedback on applications to enhance the job search experience. Jobgether aims to eliminate common frustrations in the job market, such as application black holes and recruiter ghosting, by offering a supportive and transparent approach to remote employment.

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