TL;DR

Associate Principal Engineer (Data Science): Leading design and development of advanced data science solutions with an accent on predictive modelling, generative AI, and cloud deployment. Focus on designing scalable architectures, applying machine learning and optimization techniques, and ensuring robust MLOps practices.

Company

%hirify_global% is a global digital product engineering company with 17500+ experts across 39 countries, focused on building inspiring products, services, and experiences.

What you will do

Translate client business use cases into technical designs meeting requirements.
Evaluate and select optimal solutions aligned with client needs.
Define guidelines and benchmarks for non-functional requirements.
Write and review architecture and design documents for developers.
Ensure best practices in scalability, security, and extensibility are followed.
Conduct POCs to validate design and technology choices.

Requirements

Must have 13+ years of experience in data science with predictive modelling and optimization.
Strong experience with Python or R and data science libraries such as Pandas, NumPy, and Scikit-learn.
Proven expertise in machine learning, mathematical optimization, NLP, and generative AI fundamentals.
Experience with cloud architectures and deployment on AWS, Azure, or GCP.
Knowledge of MLOps principles and tools for CI/CD and model lifecycle management.
Excellent communication skills for cross-functional collaboration.