Description

You will design, develop, and monitor machine learning, deep learning, and NLP models to extract insights from raw data and build scalable production models.

This role is remote.

Responsibilities

• Build and deploy scalable ML models using Python, SQL, Scikit-learn, Keras, and PyTorch.
• Handle big data workloads and engineering tasks using Spark and cloud services (AWS, Azure).
• Create data visualizations and meaningful insights using Tableau.
• Deploy models in production using cloud-native ML solutions.

Required Skills

• 5+ years of progressive experience in data science or related fields.
• Proficiency in Python, SQL, Scikit-learn, Keras, PyTorch, Tableau, and Spark.
• Experience with AWS and Azure cloud services for big data engineering.
• Masters degree in Computer Science, Engineering, or closely related field (or Bachelor's with 5+ years experience).
• Ability to handle big data workloads and build production-ready models.

Preferred Skills

• Experience with NLP models and deep learning architectures.
• Willingness to travel to unanticipated client sites as required.

Key Skills

Education

Any Graduate