TL;DR

Principal Engineer, Data Science (AI/ML): Building and optimizing data science solutions focusing on predictive modeling, machine learning, and Generative AI fundamentals. Focus on designing cloud architectures, deploying data solutions on platforms like GCP, and ensuring MLOps principles are followed for model lifecycle management.

Location: Service Region: South Asia

Company

%hirify_global% is a Digital Product Engineering company scaling globally with over 17,500 experts across 39 countries.

What you will do

Convert client business use cases and technical requirements into technical designs.
Identify and narrow down optimal solutions for client requirements.
Define guidelines and benchmarks for Non-Functional Requirements (NFR) during project implementation.
Write and review design documents for overall architecture, framework, and high-level application design.
Review architecture and design for extensibility, scalability, security, and best practices.
Develop and design overall solutions, defining technologies, patterns, and frameworks.
Resolve issues through systematic root cause analysis and justify decisions.
Conduct Proof of Concepts (POCs) to validate design/technology choices.

Requirements

Total experience: 15+ years.
Hands-on experience in data science with predictive modeling and optimization.
Strong working experience with Data Science on GCP and Generative AI fundamentals.
Strong experience with Python (and/or R) and libraries (Pandas, NumPy, Scikit-learn).
Strong knowledge of Cloud Architecture and deployment on AWS, Azure, GCP.
Proven expertise in machine learning, mathematical optimization, and NLP techniques.
Familiarity with RAG, Lang Chain, Llama Index, and prompt engineering.
Strong understanding of MLOps principles and tools for CI/CD, monitoring, and model lifecycle management.
Excellent communication and collaboration skills.
Bachelor’s or master’s degree in Computer Science, Information Technology, or a related field.

Culture & Benefits

Dynamic and non-hierarchical work culture.

Principal Engineer (Data Science)