Principal Engineer, Machine Learning - Remote

Overview

The Principal Engineer, Machine Learning will be responsible for delivering impactful solutions in machine learning, focusing on areas such as NLP and AI, while collaborating with cross-functional teams to architect scalable solutions.

In Short

• 13+ years of total experience required.
• Strong experience in machine learning and AI.
• Proficient in Python or R and data manipulation libraries.
• Experience with deep learning frameworks like TensorFlow and PyTorch.
• Knowledge of Generative AI frameworks and data engineering.
• Ability to architect cloud-based AI solutions.
• Excellent communication and collaboration skills.
• Hands-on experience in building ML pipelines.
• Experience with personalization engines and digital marketing integrations.
• Writing and reviewing high-quality code and design documents.

Requirements

• Bachelor’s or master’s degree in computer science or related field.
• Strong understanding of statistical concepts.
• Proficient in programming and deep learning frameworks.
• Hands-on skills in data engineering.
• Ability to resolve issues through systematic analysis.
• Experience with architectural reviews and best practices.
• Ability to carry out POCs for design validation.
• Experience in mapping technical requirements to solutions.
• Knowledge of cloud services like AWS, Azure, or GCP.
• Strong problem-solving skills.

Benefits

• Dynamic and non-hierarchical work culture.
• Opportunity to work with a global team of experts.
• Engagement in innovative projects and solutions.
• Collaboration with cross-functional teams.
• Opportunities for professional growth and development.