Full-Time Lead Machine Learning Engineer

Logic20/20 is seeking a Machine Learning Engineer to support data science teams leveraging AI and machine learning for computer vision and customer intent models.

This role involves creating production-level systems through applying machine learning models.

Key Responsibilities:

• Create frameworks to predict various outcomes.
• Develop customer satisfaction models for detailed insights into customer actions.
• Collaborate with data scientists and stakeholders on projects.
• Research and design statistical models to address business questions, optimize processes, and inform decisions.
• Develop solutions in R or Python.
• Build production-grade solutions using Hadoop, Redshift, and Spark.
• Translate business requirements into analytical projects.
• Communicate complex methodologies and results to stakeholders.

Required Skills:

• 6+ years of experience in data science or machine learning (MLOps).
• 5+ years of Python experience in a production environment.
• 3+ years of experience building, evaluating, and performing feature selection in a high-impact role.
• Strong experience with AWS, AWS Glue, and SageMaker.
• Proficiency in Terraform.
• Knowledge of enterprise software development practices (SDLC, best practices, version control, architecture, testing, deployment).
• Familiarity with popular machine learning libraries (TensorFlow, Keras, etc.).
• Knowledge of statistics and machine learning techniques.
• Experience with GitHub.
• Experience building data pipelines.

Preferred Skills:

• Master's or PhD in Computer Science.
• Ability to build enterprise templates.
• Experience with drift and bias detection.
• Dashboards creation ability.
• Experience monitoring models in production.
• Azure DevOps experience.
• Experience implementing best practices.

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