Principal Engineer (Data Science)

TL;DR

Principal Engineer (Data Science): Leading design and development of advanced data science solutions focusing on predictive modeling, optimization, and generative AI. Focus on designing scalable architectures, applying machine learning and NLP techniques, and ensuring robust MLOps practices.

Company

hirify.global is a global digital product engineering company with over 17,500 experts across 39 countries, delivering scalable products, services, and experiences.

What you will do

• Translate client business use cases into technical designs that meet requirements.
• Evaluate and select optimal solutions aligned with client needs.
• Define guidelines and benchmarks for non-functional requirements during implementation.
• Write and review architecture and design documents ensuring best practices in scalability, security, and extensibility.
• Develop overall solutions including technology, patterns, and frameworks selection.
• Conduct POCs and resolve technical issues through root cause analysis.

Requirements

• Total experience: 15+ years.
• Hands-on experience in data science with predictive modeling and optimization techniques (Statistical Analysis, ANOVA, Time Series, Regression).
• Strong experience with Python or R and related libraries (Pandas, NumPy, Scikit-learn).
• Expertise in cloud architecture and deployment on AWS, Azure, or GCP.
• Proven skills in machine learning, mathematical optimization, NLP, and generative AI fundamentals.
• Understanding of MLOps principles and tools for CI/CD and model lifecycle management.
• Excellent communication and collaboration skills.