Manager – ML Ops

New York, New York

  MLOps

Permanent

Our client is a rapidly growing Business Consulting Company that is rivalling its competitors and leading the way through this turbulent market. Serving fortune 500 companies in building data driven solutions depending on client needs.

They are looking for ML Ops Lead to unite the disciplines of Data Science, Data Engineering, Machine Learning, and DevOps to produce an efficient and scalable process.

The ideal candidate is a problem solver and natural leader. An individual that positively shape their environment, uniting the team in creating solutions seamlessly with less risk and more reliability.

Responsibilities:

  • Leading the full ML/ Data Science Life Cycle. From design to deployment ensuring efficiency and scalability for ML projects.
  • Help to develop and Maintain Continuous Integration/ Continuous Delivery (CI/CD) ML Pipelines.
  • Model optimization, maintenance, and compliance.
  • Bring your expertise to ML Pipelines to improve performance.
  • Stakeholder engagement and management. Understand our clients requirements and pro-actively suggest solutions and potential areas for improvement.
  • Stay up to date with current trends and technologies in AI and ML and how the organization can utilize new techniques.

Requirements:

  • Minimum of a Master’s Degree in a STEM, or related field.
  • Minimum of 7years experience working in a data science or machine learning role (preferably in consulting, finance, or insurance.)
  • Experience managing the ML Ops lifecycle.

Why?
Join a company that supports your individual growth and taking your career to the next level. A community with shared values such as creativity, authenticity, and boldness. 

  • Remote work and hybrid options.
  • 10% Travel.
  • Competitive salary and benefits.

Compensation:
Base compensation: $180,000-$220,000.

*US Citizen or Green Card. 
 

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