TL;DR

Staff Applied Scientist (Applied AI): Design, implement, and scale applied AI features and machine learning models across %hirify_global%’s products with an accent on the full data science lifecycle and business impact. Focus on developing scalable ML pipelines, mentoring team members, and collaborating across engineering and product teams.

Location: Hybrid workplace based in Paris, France

Company

%hirify_global% is a global SaaS company focused on cloud infrastructure monitoring and digital transformation, delivering growth and profitability with a strong engineering culture.

What you will do

Identify high-impact business opportunities through data exploration and model prototyping.
Develop, productionize, and operate machine learning models and pipelines at scale for batch and real-time use cases.
Collaborate with applied scientists and engineers to build next-generation features.
Mentor and guide applied scientists by promoting best practices and technical standards.
Present work internally to technical, engineering, and product stakeholders.
Engage with the applied science and engineering community to advance the organization.

Requirements

Must be based in or able to work hybrid in Paris, France
8+ years of industry experience with a Master’s or PhD in relevant fields.
Strong experience in machine learning lifecycle, algorithms, and applied science product development.
Proficiency in Scala or Python and software engineering best practices.
Understanding of data engineering and pipeline technologies such as Spark.
Excellent communication skills for diverse technical audiences.

Culture & Benefits

High income earning opportunities based on performance.
Stock equity and employee stock purchase plans.
Continuous professional development and career pathing.
Inclusive company culture with employee resource groups and community guilds.
Global health benefits and wellness programs.
Mentor and buddy programs for networking and growth.