TL;DR

Staff Engineer, Data Science (AI): Building and optimizing data science solutions with an accent on Machine Learning fundamentals, generative AI, and model deployment. Focus on designing overall solution architecture, converting business requirements to technical designs, and mentoring team members.

Location: Service Region: South Asia. Candidates should be open to travel onsite once a month.

Company

%hirify_global% is a Digital Product Engineering company that builds products, services, and experiences at scale across various devices and digital mediums.

What you will do

Write and review high-quality code.
Convert client's business use cases and technical requirements into elegant technical designs.
Identify and narrow down the best technical solutions for client requirements.
Define guidelines and benchmarks for non-functional requirements during project implementation.
Review architecture and design for extensibility, scalability, security, and user experience.
Develop and design overall solutions, defining technologies, patterns, and frameworks.

Requirements

7+ years of total experience.
Must have experience in Machine Learning Fundamentals, Data Analysis & Visualization, Statistics & Probability, SQL, and Model Packaging & Deployment.
Must have hands-on experience with Generative AI fundamentals, 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, and Natural Language Processing.
Should have experience in Data Science on AWS, Azure, or GCP.
Must have exposure to model deployment using Docker/Kubernetes.
Must be capable of mentoring team members and helping them keep up with new technologies.

Culture & Benefits

Dynamic and non-hierarchical work culture.
Empowering team members to be solution providers.
Flat environment where everyone’s point of view is considered, and feedback is encouraged.