Description

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

Responsibilities

• Execute multiple machine learning projects from conception to deployment.
• Implement classification, regression, clustering, and semi-supervised learning algorithms.
• Apply time series forecasting using AR, ARIMA, SARIMA, and Exponential Smoothing.
• Develop models using neural networks, including GRUs and LSTMs.
• Incorporate ML explainability into model development workflows.

Required Skills

• 15+ years of total professional experience.
• 7+ years of relevant experience in machine learning.
• Degree in Machine Learning or relevant graded certifications.
• Strong statistical background developed professionally or academically.
• Proficiency with public cloud providers for ML solution deployment.
• Deep understanding of time-dependent neural networks.
• Expertise in core ML concepts including regression and clustering.

Preferred Skills

• Hands-on experience with MLOps and end-to-end inferencing pipelines for monitoring concept and data drift.
• Experience with NLP, Generative AI, or Recommender Systems.

Key Skills

Education

Any Gradute