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Senior AI/ML Engineering Director

1 week ago


Cincinnati, Ohio, United States 84.51 Full time
Company Overview: 84.51° is a retail data science, insights and media company that empowers businesses to create personalized experiences for their customers across the path to purchase.

Job Description: We are seeking a Senior AI/ML Engineering Director to lead our AI Acceleration team in enabling AI democratization through apps & services and driving asymmetric growth through embedding generative AI capabilities across our business.

Key Responsibilities:
  • Lead technical ML engineers on larger projects that span months
  • Foster a collaborative and innovative team environment, encouraging professional growth and development among junior team members
  • Leverage known patterns, frameworks, and tools for automating & deploying machine learning solutions
  • Develop new tools, processes, and operational capabilities to monitor and analyze model performance and data accuracy where needed
  • Work with researchers to optimize and scale Machine Learning Solutions using best practices in DevOps & MLOps
  • Abstract ML solutions as packages, APIs, or components that could be reused across the business
  • Build, steward, and maintain production-grade solutions (robust, reliable, maintainable, observable, scalable, performant etc.) to manage and serve machine learning models and science solutions
  • Research state of the art artificial intelligence and machine learning algorithms, patterns, processes, and tooling to identify new opportunities for implementation across the enterprise
  • Serve as early adopter of new machine learning tools, platforms, and processes
  • Understand business requirements and trade-off scale, risk, and accuracy to maximize value and translate research into consumable products or services
  • Reduce time to delivery, automate ML pipelines, and implement continuous feedback & monitoring practices

Requirements: To succeed in this role, you will need:
  • Bachelor's degree or higher in Machine Learning, Computer Science, Computer Engineering, Applied Statistics, or related field
  • 4+ years of experience developing cloud-based software solutions and an understanding of design for scalability, performance, and reliability
  • 4+ years of experience using advanced algorithms, programming languages, or technologies
  • 2+ yrs hands-on experience building large-scale ML models, preferably as a data scientist
  • 2+ years of experience in emerging AI preferred
  • Strong communication skills, particularly on technical topics
  • Knowledge of deep learning methods is highly preferred
  • Working experience in one or more ML frameworks such as PyTorch, TensorFlow, MLLib, and MLFlow
  • Hands-on experience with technologies such as Azure, Spark, Nvidia Triton and Databricks