Director of Machine Learning Engineering

New York, New York

  Machine Learning

230000

Permanent

Our client who are a leading Fortune 500 company based in the heart of New York City who are involved in various sectors within Financial Services such as Banking, Wealth Management, Credit, Loans, Mortgages and Insurance.

Role Overview:

  • Work with data ranging from demographics, credit, and geo data to detailed medical data
  • Chance to drive the transformation of an industry
  • Build a team of Data and ML engineers
  • Research, build, and deploy production-grade models
  • Manage, train and coach a team of Engineers
  • Work on advanced analytics projects end to end
  • Work with Data Scientists and business partners
  • Work side by side with the Chief Data Office and Technology Enterprise Data teams
  • Work with our platform management team to deploy models
  • Work with Project Managers and Scrum Masters
  • Shape a collaborative environment for data scientists and engineers to work together successfully

 

Responsibilities:

  • Manage a team of Data Scientists, Data Engineers and Machine Learning Engineers
  • Help lead the hiring of several openings on the team
  • Build/manage a strategy for servicing multiple data science projects in varying states of maturity
  • Make sure the team is delivering data quickly and efficiently
  • Manage code and document production-ready requirements
  • Provide guidance for the architecture of ML development data
  • Create solutions to process a large variety of data sources
  • Oversee the deployment of models into production
  • Monitor and track departmental metrics
  • Address/Resolve any technical issues that may arise
  • Function as a Data Science & Machine Learning expert
  • Contribute to analytics/solutions design and implementation
  • Communicate accordingly with senior-level staff members

 

Required Qualifications:

  • Degree in Computer Science, Data Science, Machine Learning, Statistics, Mathematics, Engineering or a related field
  • 8+ years of work experience in Data Science, Data Engineering, ML Engineering and computer programming
  • Must have experience working in Finance, Banking, Insurance, Credit, Mortage Industry, or similar
  • 5+years of people management experience
  • Must have experience hiring, coaching, promoting, and managing the review process
  • Proficiency in Python and R, and SQL
  • Experience in applying AI/ML technologies, frameworks, and applications
  • Experience creating and deploying ML/AI models in production environments
  • Experience with a variety of ML and AI techniques
  • Solid understanding and experience with statistical modeling concepts, design, and analytics-based products
  • Experience working in AWS, Linux, and Large Scale Computing platforms
  • Experience with microservices, API and event-driven architecture
  • Experience with Kubernetes and ETL tools
  • Exposure to Geospatial (GIS) platforms
  • Any experience working with Data Warehouses