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1 month ago

Job Summary

As a Senior ML Engineer, your job is to evaluate and design AI/ML solutions in coordination with your team to have a measurable impact on our business outcomes. In this role, you partner directly with your team manager and other team members to evaluate and integrate new AI models into our platform offering. The resulting solutions are focused on task categories but remain independent of specific business use-cases, yielding reusable AI Enablement value across client verticals.

  • Minimum Qualification: Degree
  • Experience Level: Senior level
  • Experience Length: 5 years

Job Description/Requirements

Requirements

  • You are comfortable solving problems in remote team environments. Our team spans the globe, and requires excellent communication and teamwork to succeed.
  • You are able to partner directly with Product Managers and demonstrate leadership within your team. As a senior member of your team, you cut through complexity in requirements to determine right-sized commitments for implementation.
  • You can analyze and author documentation. You will need to research and synthesize new technologies (model, frameworks, libraries, techniques), explain them to your team, and evangelize their usefulness in our platform on a regular basis.
  • You have strong experience with Python and AI/ML libraries (Pandas, LangChain, PyTorch, Keras, scikit-learn, etc.). You are comfortable publicly weighing the pros and cons of each technology, as well as incorporating your insights into production-ready code.
  • You understand the underlying theory and capabilities of widely-used machine learning models.
  • You have proven expertise in partnering with software engineers to deploy machine learning models that solve real world problems. Your team includes software engineers, but you know enough about MLOps to establish success metrics for your models in production.

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