TL;DR

Lead Data Science Engineer (Generative AI): Building and optimizing data science solutions with an accent on machine learning fundamentals, model deployment, and generative AI applications. Focus on designing scalable architectures, solving complex data analysis challenges, and mentoring team members.

Location: Service Region: South Asia. 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.

What you will do

Write and review great quality code.
Convert client business use cases and technical requirements into elegant technical designs.
Define guidelines and benchmarks for Non-Functional Requirements (NFRs) during project implementation.
Develop and design the overall solution for defined functional and non-functional requirements.
Resolve issues through exhaustive systematic analysis of the root cause.
Carry out Proof-of-Concepts (POCs) to make sure suggested designs/technologies meet requirements.

Requirements

Total Experience: 5+ years
Must have experience in Machine Learning Fundamentals, Data Analysis & Visualization, Statistics & Probability, SQL, and Model Packaging & Deployment.
Must have hands-on generative AI fundamental, RAG, and text-to-SQL.
Should have experience in Python or R for Data Science.
Should have experience in Classification-regression, Forecasting, Anomaly detection, Predictive analysis, Unsupervised Models, Recommendation Systems, and Natural Language Processing.
Should have experience in Data science on AWS/Azure/GCP.
Must have exposure in model deployment using Docker/Kubernetes.
Must be capable of mentoring team members in projects.

Culture & Benefits

Dynamic and non-hierarchical work culture.
Opportunity to work at scale across all devices and digital mediums.
Encouragement for exploring new technologies.
An empowering environment where everyone’s point of view is considered.

Associate Staff Engineer (Data Science)