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Machine Learning Engineer
Posted On: 1 day ago
Experience: Not specified years
Availability: Onsite
Openings: 1
Category: Machine Learning Engineer
Tenure: No Preference/Any
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Description

Build and deploy advanced analytics solutions using supervised and unsupervised machine learning algorithms for strategic risk and opportunity identification.

This role is on-site.

Responsibilities

  • Build and deploy advanced analytics solutions using supervised and unsupervised machine learning algorithms.
  • Evaluate model design, performance, feature analysis, and hyperparameter tuning.
  • Analyze large data sets to identify risks and opportunities.
  • Collaborate with subject matter experts and delivery teams from initial design through to deployment.
  • Identify potential implementation risks and suggest mitigation strategies.

Required Skills

  • 10+ years of experience in the banking domain.
  • Proficiency in Python, R, Scala, and SQL.
  • Experience with supervised and unsupervised machine learning algorithms.
  • Strong understanding of statistical practices for predictive modeling.
  • US Citizen or Green Card holder.
  • Experience with requirements management and delivery excellence.

Preferred Skills

  • Familiarity with Microsoft Azure cloud environments.
  • Knowledge of deep learning using TensorFlow or PyTorch.
  • Experience with project management frameworks and ADO.

Key Skills
Education

ANY GRADUATE

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