Motion Recruitment - Chicago, IL

posted 13 days ago

Full-time
Chicago, IL
Administrative and Support Services

About the position

The Machine Learning Engineer will join a national research organization focused on supporting data-driven decision-making and advancing public knowledge across various fields. This role involves specializing in the fine-tuning of machine learning models within the Data Science & Advanced Analytics team, utilizing cloud environments such as AWS and Azure to tackle complex societal issues and produce meaningful insights.

Responsibilities

  • Specialize in the fine-tuning of machine learning models.
  • Work within AWS and Azure environments to develop and deploy AI/ML solutions.
  • Refine and adapt ML models to meet the unique requirements of diverse data-driven projects.
  • Leverage innovative methodologies and cutting-edge technology to produce meaningful insights.

Requirements

  • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field.
  • 3+ years of experience developing and deploying AI/ML solutions on cloud platforms, including AWS and Azure.
  • Proficiency in Python and experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
  • Hands-on experience with AWS (e.g., Amazon SageMaker, Amazon Rekognition) and Azure AI/ML services (e.g., Azure Cognitive Services).

Nice-to-haves

  • Deploy AI/ML models to production environments on AWS and Azure using services like SageMaker Inference and Azure Machine Learning Deployments.
  • Knowledge of cloud infrastructure management, data pipelines, and preprocessing for AI/ML.
  • Familiarity with RAG applications, API integration, Co-pilot tools, and containerization (Docker, Kubernetes).
  • Strong problem-solving skills, with excellent communication and collaboration abilities.
  • Commitment to staying current with AI/ML trends and driving business value through intelligent solutions.
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