AI Engineer

Role Overview

Develop fit for purpose AIML models, algorithms, and processes to address pharma and healthcare applications. This role involves transitioning prototypes into production-grade algorithms and automation engines, bringing researched ideas to reality at scale for client deliverables.

Responsibilities

• Assist in transforming machine learning research domain expertise into viable prototypes.
• Develop model features for individual projects with guidance.
• Collaborate with Machine Learning Engineers and Research Scientists to create new algorithms.
• Build and train production-grade algorithms capable of learning from complex, high-dimensionality data.
• Utilize various techniques to improve Natural Language Processing and machine learning algorithm performance.
• Assist in the testing and validation of models for deployment viability.
• Consult for internal and external clients to implement solution development and innovation.

Requirements

• Master's Degree in Machine Learning, Statistics, Computer Science, Physics, Math, or a related field.
• 0-2 years of experience creating machine learning algorithms.
• Programming experience in Python, Java, C++, or R.
• Experience working with large, real-world datasets.

Skills

• Python
• Machine Learning
• Deep Learning
• Natural Language Processing
• Statistics

Benefits

• Hybrid work model offering flexibility and in-person collaboration.