Senior Staff Engineer, Data-science (AI)

TL;DR

Senior Staff Engineer, Data-science (AI): Applying machine learning techniques and generative AI to solve complex business use cases and develop overall data science solutions with an accent on model deployment and NFR considerations. Focus on architecture, extensibility, scalability, and security.

Location: Should be open to travel onsite once a month.

Company

hirify.global is a Digital Product Engineering company that builds products, services, and experiences that inspire, excite, and delight, with 17500+ experts across 39 countries.

What you will do

• Write and review high-quality code and translate client's business use cases and technical requirements into technical designs.
• Identify and narrow down the best solutions that meet client's requirements.
• Define guidelines and benchmarks for NFR considerations during project implementation.
• Review architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, and NFRs.
• Develop and design overall solutions for defined functional and non-functional requirements; and define technologies, patterns, and frameworks to materialize it.
• Resolve issues raised during code/review through systematic analysis and carry out POCs to ensure design/technologies meet requirements.

Requirements

• Total Experience: 7+ years
• Experience in Machine Learning Fundamentals, Data Analysis & Visualization, Statistics & Probability, SQL, Model Packaging & Deployment.
• Hands on generative AI fundamental, RAG, text to SQL.
• Experience in Python or R for Data Science and data science on AWS/Azure/GCP.
• Exposure in model deployment using docker/Kubernetes.
• Strong troubleshooting skills in different disparate technologies and environments and clarity of thought and strong communication skills to effectively pitch solutions.
• Must have ability to explore and grasp new technologies and be capable of mentoring team members in projects.

Qualifications

• Bachelor’s or master’s degree in computer science, Information Technology, or a related field.