Description

You will design, build, and deploy enterprise-grade machine learning solutions using public cloud providers.

This role is on-site.

Responsibilities

• Execute multiple machine learning projects from conception to deployment.
• Apply statistical methods to solve complex modeling problems.
• Implement classification, regression, clustering, and semi-supervised learning algorithms.
• Develop time series models and time-dependent neural networks.
• Utilize ML explainability techniques to interpret model outputs.

Required Skills

• 7+ years of relevant machine learning experience.
• 15+ years of total professional experience.
• Degree or graded certification in Machine Learning.
• Deep understanding of classification, regression, clustering, and semi-supervised learning.
• Proficiency with Time Series concepts including AR, ARIMA, SARIMA, and Exponential Smoothing.
• Experience with Neural networks, specifically GRUs and LSTMs.
• Hands-on experience with public cloud providers for ML deployment.
• Strong professional or academic statistical background.

Preferred Skills

• Experience with MLOps and creating end-to-end inferencing pipelines for monitoring concept and data drift.
• Knowledge of NLP, Generative AI, or Recommender Systems.

Key Skills

Education

Any Gradute